From bbf243da7785805d022258367cc555c172493349 Mon Sep 17 00:00:00 2001
From: Kyle Tree <kyletree@Kyles-MacBook-Pro.local>
Date: Wed, 20 May 2026 03:42:10 -0700
Subject: [PATCH] Add negative evidence replication graph

---
 README.md                                     |   4 +
 negative-evidence-replication-graph/README.md |  32 ++
 .../demo-output.json                          | 216 +++++++++
 negative-evidence-replication-graph/demo.js   |  31 ++
 negative-evidence-replication-graph/demo.mp4  | Bin 0 -> 36366 bytes
 negative-evidence-replication-graph/demo.svg  |   1 +
 negative-evidence-replication-graph/index.js  | 410 ++++++++++++++++++
 .../requirements-map.md                       |  21 +
 .../sample-data.js                            | 194 +++++++++
 negative-evidence-replication-graph/test.js   |  56 +++
 10 files changed, 965 insertions(+)
 create mode 100644 negative-evidence-replication-graph/README.md
 create mode 100644 negative-evidence-replication-graph/demo-output.json
 create mode 100644 negative-evidence-replication-graph/demo.js
 create mode 100644 negative-evidence-replication-graph/demo.mp4
 create mode 100644 negative-evidence-replication-graph/demo.svg
 create mode 100644 negative-evidence-replication-graph/index.js
 create mode 100644 negative-evidence-replication-graph/requirements-map.md
 create mode 100644 negative-evidence-replication-graph/sample-data.js
 create mode 100644 negative-evidence-replication-graph/test.js

diff --git a/README.md b/README.md
index d338cf68..64f31b0f 100644
--- a/README.md
+++ b/README.md
@@ -1,2 +1,6 @@
 # deepevents.ai
 deepevents.ai main codebase
+
+## Scientific Knowledge Graph Integration
+
+- `negative-evidence-replication-graph/` adds a self-contained #17 slice for failed replications, null results, and inconclusive studies as first-class knowledge-graph signals.
diff --git a/negative-evidence-replication-graph/README.md b/negative-evidence-replication-graph/README.md
new file mode 100644
index 00000000..f5de652e
--- /dev/null
+++ b/negative-evidence-replication-graph/README.md
@@ -0,0 +1,32 @@
+# Negative Evidence Replication Graph
+
+This module is a focused Scientific Knowledge Graph Integration slice for SCIBASE issue #17. It treats failed replications, null results, and inconclusive studies as first-class graph signals instead of leaving them as unstructured notes attached to a paper.
+
+## What It Adds
+
+- Typed graph nodes for claims, concepts, methods, datasets, protocols, papers, and replication signals.
+- Deterministic scoring for positive support and negative replication pressure.
+- Recommendation treatments that promote replicated claims, show uncertain claims with caution, or suppress recommendations when failed replication evidence is strong.
+- Entity-page packets with schema.org-compatible JSON-LD and reviewer-visible replication actions.
+- Publication-bias alerts when a domain has confident claims but no registered negative-result records.
+- Offline JSON and SVG demo output generated from synthetic data.
+
+## Why This Is Distinct
+
+Existing submissions for #17 cover broad extraction/navigation, link audits, ontology drift, conflict arbitration, author disambiguation, artifact reuse lineage, evidence freshness, reproducibility routes, and visibility filtering. This slice focuses specifically on negative evidence: failed replication attempts, null results, and inconclusive runs that should change graph navigation and AI recommendations before researchers rely on a claim.
+
+## Run
+
+```bash
+node negative-evidence-replication-graph/test.js
+node negative-evidence-replication-graph/demo.js
+```
+
+The demo writes:
+
+- `negative-evidence-replication-graph/demo-output.json`
+- `negative-evidence-replication-graph/demo.svg`
+
+## Core Policy
+
+When negative replication pressure is high, the module returns `suppress_recommendation` and requires curator review plus a visible entity-page replication note. When evidence is inconclusive, the module keeps the claim discoverable but requires method detail before it is promoted in recommendation digests.
diff --git a/negative-evidence-replication-graph/demo-output.json b/negative-evidence-replication-graph/demo-output.json
new file mode 100644
index 00000000..1f5a3300
--- /dev/null
+++ b/negative-evidence-replication-graph/demo-output.json
@@ -0,0 +1,216 @@
+{
+  "summary": {
+    "nodeCount": 21,
+    "edgeCount": 27,
+    "claimCount": 3,
+    "replicationSignalCount": 4,
+    "suppressedRecommendations": 1,
+    "cautionRecommendations": 1
+  },
+  "suppressedRecommendations": [
+    {
+      "claimId": "claim:beta-organoid-rescue",
+      "title": "Beta compound rescues organoid viability at low dose",
+      "domain": "organoid-pharmacology",
+      "referenceScore": 0.541,
+      "positiveSupport": 0,
+      "negativePressure": 1.227,
+      "netScore": -0.502,
+      "treatment": "suppress_recommendation",
+      "signals": [
+        {
+          "id": "rep:beta-null-dose",
+          "outcome": "negative_result",
+          "strength": -0.427,
+          "quality": 0.776,
+          "lab": "Organoid Core West",
+          "reportedAt": "2026-04-21"
+        },
+        {
+          "id": "rep:beta-failed-media",
+          "outcome": "failed_replication",
+          "strength": -0.8,
+          "quality": 0.8,
+          "lab": "Consortium Lab 4",
+          "reportedAt": "2026-05-02"
+        }
+      ],
+      "requiredActions": [
+        "open_curator_review",
+        "attach_failed_replication_to_entity_page",
+        "remove_from_ai_recommendation_digest"
+      ]
+    }
+  ],
+  "cautionRecommendations": [
+    {
+      "claimId": "claim:graphene-ultra-sensitive",
+      "title": "Graphene biosensor detects femtomolar protein concentrations",
+      "domain": "materials-biosensing",
+      "referenceScore": 0.671,
+      "positiveSupport": 0,
+      "negativePressure": 0.066,
+      "netScore": 0.615,
+      "treatment": "show_with_replication_caution",
+      "signals": [
+        {
+          "id": "rep:graphene-inconclusive",
+          "outcome": "inconclusive",
+          "strength": -0.066,
+          "quality": 0.439,
+          "lab": "Materials Lab North",
+          "reportedAt": "2026-05-05"
+        }
+      ],
+      "requiredActions": [
+        "request_method_detail_before_digesting"
+      ]
+    }
+  ],
+  "exampleEntityPage": {
+    "id": "claim:beta-organoid-rescue",
+    "title": "Beta compound rescues organoid viability at low dose",
+    "type": "ScientificClaim",
+    "domain": "organoid-pharmacology",
+    "treatment": "suppress_recommendation",
+    "replicationScore": -0.502,
+    "requiredActions": [
+      "open_curator_review",
+      "attach_failed_replication_to_entity_page",
+      "remove_from_ai_recommendation_digest"
+    ],
+    "relationships": [
+      {
+        "id": "signal:rep:beta-null-dose:evaluates_claim:claim:beta-organoid-rescue:5",
+        "from": "signal:rep:beta-null-dose",
+        "to": "claim:beta-organoid-rescue",
+        "type": "evaluates_claim",
+        "evidence": {
+          "outcome": "negative_result",
+          "quality": 0.776,
+          "strength": -0.427
+        }
+      },
+      {
+        "id": "signal:rep:beta-failed-media:evaluates_claim:claim:beta-organoid-rescue:9",
+        "from": "signal:rep:beta-failed-media",
+        "to": "claim:beta-organoid-rescue",
+        "type": "evaluates_claim",
+        "evidence": {
+          "outcome": "failed_replication",
+          "quality": 0.8,
+          "strength": -0.8
+        }
+      },
+      {
+        "id": "paper:beta-2025:asserts_claim:claim:beta-organoid-rescue:21",
+        "from": "paper:beta-2025",
+        "to": "claim:beta-organoid-rescue",
+        "type": "asserts_claim",
+        "evidence": {}
+      },
+      {
+        "id": "claim:beta-organoid-rescue:mentions_concept:concept:organoid-dose-response:22",
+        "from": "claim:beta-organoid-rescue",
+        "to": "concept:organoid-dose-response",
+        "type": "mentions_concept",
+        "evidence": {}
+      },
+      {
+        "id": "claim:beta-organoid-rescue:uses_method:method:live-cell-imaging:23",
+        "from": "claim:beta-organoid-rescue",
+        "to": "method:live-cell-imaging",
+        "type": "uses_method",
+        "evidence": {}
+      },
+      {
+        "id": "claim:beta-organoid-rescue:uses_dataset:dataset:beta-organoid-v2:24",
+        "from": "claim:beta-organoid-rescue",
+        "to": "dataset:beta-organoid-v2",
+        "type": "uses_dataset",
+        "evidence": {}
+      }
+    ],
+    "replicationSignals": [
+      {
+        "id": "signal:rep:beta-null-dose",
+        "type": "replication_signal",
+        "title": "Low-dose beta rescue not observed in blinded run",
+        "outcome": "negative_result",
+        "lab": "Organoid Core West",
+        "reportedAt": "2026-04-21",
+        "quality": 0.776,
+        "strength": -0.427,
+        "tags": [
+          "replication",
+          "negative_result"
+        ]
+      },
+      {
+        "id": "signal:rep:beta-failed-media",
+        "type": "replication_signal",
+        "title": "Beta compound failed replication under matched media",
+        "outcome": "failed_replication",
+        "lab": "Consortium Lab 4",
+        "reportedAt": "2026-05-02",
+        "quality": 0.8,
+        "strength": -0.8,
+        "tags": [
+          "replication",
+          "failed_replication"
+        ]
+      }
+    ],
+    "jsonLd": {
+      "@context": "https://schema.org",
+      "@type": "ScholarlyArticle",
+      "identifier": "claim:beta-organoid-rescue",
+      "headline": "Beta compound rescues organoid viability at low dose",
+      "about": [
+        "concept:organoid-dose-response"
+      ],
+      "isBasedOn": [
+        "dataset:beta-organoid-v2"
+      ],
+      "measurementTechnique": [
+        "method:live-cell-imaging"
+      ],
+      "additionalProperty": [
+        {
+          "@type": "PropertyValue",
+          "name": "SCIBASE replication treatment",
+          "value": "suppress_recommendation"
+        },
+        {
+          "@type": "PropertyValue",
+          "name": "SCIBASE replication score",
+          "value": -0.502
+        }
+      ]
+    }
+  },
+  "recommendationDigest": [
+    {
+      "claimId": "claim:alpha-inflammatory-drop",
+      "title": "Alpha pathway editing lowers IL-6 release in microglia",
+      "treatment": "promote_as_replicated",
+      "netScore": 1,
+      "rationale": "0.832 positive replication support; no negative signal"
+    },
+    {
+      "claimId": "claim:graphene-ultra-sensitive",
+      "title": "Graphene biosensor detects femtomolar protein concentrations",
+      "treatment": "show_with_replication_caution",
+      "netScore": 0.615,
+      "rationale": "0.066 negative replication pressure; 0 positive support"
+    },
+    {
+      "claimId": "claim:beta-organoid-rescue",
+      "title": "Beta compound rescues organoid viability at low dose",
+      "treatment": "suppress_recommendation",
+      "netScore": -0.502,
+      "rationale": "1.227 negative replication pressure; 0 positive support"
+    }
+  ],
+  "publicationBiasAlerts": []
+}
diff --git a/negative-evidence-replication-graph/demo.js b/negative-evidence-replication-graph/demo.js
new file mode 100644
index 00000000..13826755
--- /dev/null
+++ b/negative-evidence-replication-graph/demo.js
@@ -0,0 +1,31 @@
+"use strict";
+
+const fs = require("node:fs");
+const path = require("node:path");
+const {
+  buildReplicationSignalGraph,
+  createEntityPage,
+  queryGraph,
+  renderGraphSvg
+} = require("./index");
+const sampleData = require("./sample-data");
+
+const outDir = __dirname;
+const graph = buildReplicationSignalGraph(sampleData);
+const suppressed = queryGraph(graph, { treatment: "suppress_recommendation" });
+const cautious = queryGraph(graph, { treatment: "show_with_replication_caution" });
+const betaEntityPage = createEntityPage(graph, "claim:beta-organoid-rescue");
+
+const output = {
+  summary: graph.stats,
+  suppressedRecommendations: suppressed.results,
+  cautionRecommendations: cautious.results,
+  exampleEntityPage: betaEntityPage,
+  recommendationDigest: graph.recommendationDigest,
+  publicationBiasAlerts: graph.publicationBiasAlerts
+};
+
+fs.writeFileSync(path.join(outDir, "demo-output.json"), `${JSON.stringify(output, null, 2)}\n`);
+fs.writeFileSync(path.join(outDir, "demo.svg"), renderGraphSvg(graph));
+
+console.log(JSON.stringify(output, null, 2));
diff --git a/negative-evidence-replication-graph/demo.mp4 b/negative-evidence-replication-graph/demo.mp4
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diff --git a/negative-evidence-replication-graph/demo.svg b/negative-evidence-replication-graph/demo.svg
new file mode 100644
index 00000000..ccd61a2b
--- /dev/null
+++ b/negative-evidence-replication-graph/demo.svg
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="900" height="396" viewBox="0 0 900 396"><rect width="900" height="396" fill="#f8fafc"/><text x="40" y="42" font-family="Arial" font-size="26" font-weight="700" fill="#101828">Negative Evidence Replication Graph</text><text x="40" y="66" font-family="Arial" font-size="14" fill="#475467">Failed replications and null results become graph signals before recommendations are shown.</text><g transform="translate(40 90)"><rect x="0" y="0" width="820" height="72" rx="8" fill="#ffffff" stroke="#d0d5dd"/><text x="18" y="26" font-family="Arial" font-size="17" fill="#101828">Alpha pathway editing lowers IL-6 release in microglia</text><text x="18" y="52" font-family="Arial" font-size="12" fill="#475467">promote_as_replicated | positive 0.832 | negative 0</text><rect x="560" y="24" width="360" height="16" rx="8" fill="#f2f4f7" transform="scale(.8 1)"/><rect x="560" y="24" width="360" height="16" rx="8" fill="#027a48" transform="scale(.8 1)"/><text x="745" y="36" font-family="Arial" font-size="12" fill="#101828">score 1</text></g><g transform="translate(40 182)"><rect x="0" y="0" width="820" height="72" rx="8" fill="#ffffff" stroke="#d0d5dd"/><text x="18" y="26" font-family="Arial" font-size="17" fill="#101828">Beta compound rescues organoid viability at low dose</text><text x="18" y="52" font-family="Arial" font-size="12" fill="#475467">suppress_recommendation | positive 0 | negative 1.227</text><rect x="560" y="24" width="360" height="16" rx="8" fill="#f2f4f7" transform="scale(.8 1)"/><rect x="560" y="24" width="90" height="16" rx="8" fill="#b42318" transform="scale(.8 1)"/><text x="745" y="36" font-family="Arial" font-size="12" fill="#101828">score -0.502</text></g><g transform="translate(40 274)"><rect x="0" y="0" width="820" height="72" rx="8" fill="#ffffff" stroke="#d0d5dd"/><text x="18" y="26" font-family="Arial" font-size="17" fill="#101828">Graphene biosensor detects femtomolar protein concentrations</text><text x="18" y="52" font-family="Arial" font-size="12" fill="#475467">show_with_replication_caution | positive 0 | negative 0.066</text><rect x="560" y="24" width="360" height="16" rx="8" fill="#f2f4f7" transform="scale(.8 1)"/><rect x="560" y="24" width="291" height="16" rx="8" fill="#b54708" transform="scale(.8 1)"/><text x="745" y="36" font-family="Arial" font-size="12" fill="#101828">score 0.615</text></g></svg>
\ No newline at end of file
diff --git a/negative-evidence-replication-graph/index.js b/negative-evidence-replication-graph/index.js
new file mode 100644
index 00000000..0c151551
--- /dev/null
+++ b/negative-evidence-replication-graph/index.js
@@ -0,0 +1,410 @@
+"use strict";
+
+const OUTCOME_WEIGHTS = Object.freeze({
+  replicated: 1,
+  partial: 0.35,
+  inconclusive: -0.15,
+  negative_result: -0.55,
+  failed_replication: -1
+});
+
+const NODE_TYPES = Object.freeze({
+  CLAIM: "claim",
+  PAPER: "paper",
+  DATASET: "dataset",
+  PROTOCOL: "protocol",
+  METHOD: "method",
+  CONCEPT: "concept",
+  REPLICATION_SIGNAL: "replication_signal"
+});
+
+function assertArray(value, name) {
+  if (!Array.isArray(value)) {
+    throw new TypeError(`${name} must be an array`);
+  }
+}
+
+function clamp(value, min = 0, max = 1) {
+  return Math.max(min, Math.min(max, value));
+}
+
+function round(value, digits = 3) {
+  const factor = 10 ** digits;
+  return Math.round(value * factor) / factor;
+}
+
+function unique(values) {
+  return [...new Set(values.filter(Boolean))];
+}
+
+function addNode(nodes, node) {
+  if (!node || !node.id) {
+    throw new Error("Graph nodes require an id");
+  }
+  if (!nodes.has(node.id)) {
+    nodes.set(node.id, { ...node });
+    return;
+  }
+
+  const existing = nodes.get(node.id);
+  nodes.set(node.id, {
+    ...existing,
+    ...node,
+    aliases: unique([...(existing.aliases || []), ...(node.aliases || [])]),
+    tags: unique([...(existing.tags || []), ...(node.tags || [])])
+  });
+}
+
+function addEdge(edges, from, to, type, evidence = {}) {
+  if (!from || !to) {
+    throw new Error(`Cannot add ${type} edge without both endpoints`);
+  }
+  edges.push({
+    id: `${from}:${type}:${to}:${edges.length + 1}`,
+    from,
+    to,
+    type,
+    evidence
+  });
+}
+
+function normalizeOutcome(outcome) {
+  const normalized = String(outcome || "").trim().toLowerCase().replace(/[\s-]+/g, "_");
+  if (!(normalized in OUTCOME_WEIGHTS)) {
+    throw new Error(`Unsupported replication outcome: ${outcome}`);
+  }
+  return normalized;
+}
+
+function evidenceQuality(report) {
+  const methodMatch = clamp(Number(report.methodMatch ?? 0.5));
+  const sampleOverlap = clamp(Number(report.sampleOverlap ?? 0.5));
+  const protocolAvailability = report.protocolAvailable === false ? 0.2 : 1;
+  const independentLab = report.independentLab === false ? 0.7 : 1;
+  const preregistered = report.preregistered ? 1.1 : 1;
+  const confidence = clamp(Number(report.confidence ?? 0.5));
+
+  return round(
+    clamp(
+      confidence *
+        (0.35 + methodMatch * 0.25 + sampleOverlap * 0.25 + protocolAvailability * 0.1 + independentLab * 0.05) *
+        preregistered,
+      0,
+      1
+    )
+  );
+}
+
+function signalStrength(report) {
+  const outcome = normalizeOutcome(report.outcome);
+  return round(OUTCOME_WEIGHTS[outcome] * evidenceQuality(report));
+}
+
+function claimReferenceScore(claim) {
+  const citationScore = clamp(Math.log10(Number(claim.citations || 0) + 1) / 4);
+  const reproducibilityScore = clamp(Number(claim.reproducibilityScore ?? 0.5));
+  const publicationConfidence = clamp(Number(claim.publicationConfidence ?? 0.5));
+  return round(citationScore * 0.2 + reproducibilityScore * 0.45 + publicationConfidence * 0.35);
+}
+
+function treatmentForScore(score, negativePressure) {
+  if (negativePressure >= 0.55 || score < -0.25) {
+    return "suppress_recommendation";
+  }
+  if (negativePressure >= 0.25 || score < 0.15) {
+    return "show_with_replication_caution";
+  }
+  if (score >= 0.7) {
+    return "promote_as_replicated";
+  }
+  return "show_with_evidence_context";
+}
+
+function summarizeClaim(claim, reports) {
+  const referenceScore = claimReferenceScore(claim);
+  const signals = reports.map((report) => ({
+    id: report.id,
+    outcome: normalizeOutcome(report.outcome),
+    strength: signalStrength(report),
+    quality: evidenceQuality(report),
+    lab: report.lab,
+    reportedAt: report.reportedAt
+  }));
+
+  const positiveSupport = round(signals.filter((s) => s.strength > 0).reduce((sum, s) => sum + s.strength, 0));
+  const negativePressure = round(Math.abs(signals.filter((s) => s.strength < 0).reduce((sum, s) => sum + s.strength, 0)));
+  const netScore = round(clamp(referenceScore + positiveSupport * 0.45 - negativePressure * 0.85, -1, 1), 3);
+  const hasInconclusiveEvidence = signals.some((signal) => signal.outcome === "inconclusive");
+  let treatment = treatmentForScore(netScore, negativePressure);
+  if (hasInconclusiveEvidence && treatment === "show_with_evidence_context") {
+    treatment = "show_with_replication_caution";
+  }
+
+  const requiredActions = [];
+  if (negativePressure >= 0.55) {
+    requiredActions.push("open_curator_review");
+    requiredActions.push("attach_failed_replication_to_entity_page");
+  }
+  if (hasInconclusiveEvidence) {
+    requiredActions.push("request_method_detail_before_digesting");
+  }
+  if (signals.length === 0) {
+    requiredActions.push("label_unreplicated_claim");
+  }
+  if (treatment === "suppress_recommendation") {
+    requiredActions.push("remove_from_ai_recommendation_digest");
+  }
+
+  return {
+    claimId: claim.id,
+    title: claim.title,
+    domain: claim.domain,
+    referenceScore,
+    positiveSupport,
+    negativePressure,
+    netScore,
+    treatment,
+    signals,
+    requiredActions: unique(requiredActions)
+  };
+}
+
+function buildReplicationSignalGraph(input) {
+  const data = input || {};
+  assertArray(data.claims, "claims");
+  assertArray(data.replicationReports, "replicationReports");
+
+  const nodes = new Map();
+  const edges = [];
+
+  for (const concept of data.concepts || []) {
+    addNode(nodes, { ...concept, type: NODE_TYPES.CONCEPT });
+  }
+  for (const method of data.methods || []) {
+    addNode(nodes, { ...method, type: NODE_TYPES.METHOD });
+  }
+  for (const paper of data.papers || []) {
+    addNode(nodes, { ...paper, type: NODE_TYPES.PAPER });
+  }
+  for (const dataset of data.datasets || []) {
+    addNode(nodes, { ...dataset, type: NODE_TYPES.DATASET });
+  }
+  for (const protocol of data.protocols || []) {
+    addNode(nodes, { ...protocol, type: NODE_TYPES.PROTOCOL });
+  }
+
+  const reportsByClaim = new Map();
+  for (const report of data.replicationReports) {
+    const outcome = normalizeOutcome(report.outcome);
+    const signalId = `signal:${report.id}`;
+    addNode(nodes, {
+      id: signalId,
+      type: NODE_TYPES.REPLICATION_SIGNAL,
+      title: report.title || `${outcome} for ${report.claimId}`,
+      outcome,
+      lab: report.lab,
+      reportedAt: report.reportedAt,
+      quality: evidenceQuality(report),
+      strength: signalStrength(report),
+      tags: ["replication", outcome]
+    });
+    addEdge(edges, signalId, report.claimId, "evaluates_claim", {
+      outcome,
+      quality: evidenceQuality(report),
+      strength: signalStrength(report)
+    });
+    if (report.datasetId) addEdge(edges, signalId, report.datasetId, "uses_dataset");
+    if (report.protocolId) addEdge(edges, signalId, report.protocolId, "uses_protocol");
+    if (report.methodId) addEdge(edges, signalId, report.methodId, "uses_method");
+
+    if (!reportsByClaim.has(report.claimId)) reportsByClaim.set(report.claimId, []);
+    reportsByClaim.get(report.claimId).push(report);
+  }
+
+  const claimSummaries = [];
+  for (const claim of data.claims) {
+    addNode(nodes, {
+      ...claim,
+      type: NODE_TYPES.CLAIM,
+      tags: unique(["claim", claim.domain, ...(claim.tags || [])])
+    });
+    if (claim.paperId) addEdge(edges, claim.paperId, claim.id, "asserts_claim");
+    for (const conceptId of claim.conceptIds || []) addEdge(edges, claim.id, conceptId, "mentions_concept");
+    for (const methodId of claim.methodIds || []) addEdge(edges, claim.id, methodId, "uses_method");
+    for (const datasetId of claim.datasetIds || []) addEdge(edges, claim.id, datasetId, "uses_dataset");
+    claimSummaries.push(summarizeClaim(claim, reportsByClaim.get(claim.id) || []));
+  }
+
+  const publicationBiasAlerts = buildPublicationBiasAlerts(data.claims, claimSummaries);
+  const recommendationDigest = claimSummaries
+    .slice()
+    .sort((a, b) => b.netScore - a.netScore)
+    .map((summary) => ({
+      claimId: summary.claimId,
+      title: summary.title,
+      treatment: summary.treatment,
+      netScore: summary.netScore,
+      rationale:
+        summary.negativePressure > 0
+          ? `${summary.negativePressure} negative replication pressure; ${summary.positiveSupport} positive support`
+          : `${summary.positiveSupport} positive replication support; no negative signal`
+    }));
+
+  return {
+    generatedAt: new Date().toISOString(),
+    nodes: [...nodes.values()],
+    edges,
+    claimSummaries,
+    publicationBiasAlerts,
+    recommendationDigest,
+    stats: {
+      nodeCount: nodes.size,
+      edgeCount: edges.length,
+      claimCount: data.claims.length,
+      replicationSignalCount: data.replicationReports.length,
+      suppressedRecommendations: claimSummaries.filter((s) => s.treatment === "suppress_recommendation").length,
+      cautionRecommendations: claimSummaries.filter((s) => s.treatment === "show_with_replication_caution").length
+    }
+  };
+}
+
+function buildPublicationBiasAlerts(claims, summaries) {
+  const byDomain = new Map();
+  for (const claim of claims) {
+    if (!byDomain.has(claim.domain)) byDomain.set(claim.domain, []);
+    byDomain.get(claim.domain).push(claim.id);
+  }
+  const summaryByClaim = new Map(summaries.map((summary) => [summary.claimId, summary]));
+  const alerts = [];
+  for (const [domain, claimIds] of byDomain.entries()) {
+    const domainSummaries = claimIds.map((id) => summaryByClaim.get(id));
+    const unreplicatedHighConfidence = domainSummaries.filter(
+      (summary) => summary.referenceScore >= 0.6 && summary.signals.length === 0
+    );
+    const negativeSignals = domainSummaries.filter((summary) => summary.negativePressure > 0);
+    if (unreplicatedHighConfidence.length > 0 && negativeSignals.length === 0) {
+      alerts.push({
+        domain,
+        severity: "medium",
+        reason: "High-confidence claims have no registered negative or failed replication records.",
+        claimIds: unreplicatedHighConfidence.map((summary) => summary.claimId),
+        action: "prompt_reviewers_to_register_null_results"
+      });
+    }
+  }
+  return alerts;
+}
+
+function queryGraph(graph, options = {}) {
+  const domain = options.domain;
+  const treatment = options.treatment;
+  const minimumScore = options.minimumScore ?? -1;
+  const results = graph.claimSummaries.filter((summary) => {
+    if (domain && summary.domain !== domain) return false;
+    if (treatment && summary.treatment !== treatment) return false;
+    return summary.netScore >= minimumScore;
+  });
+  return {
+    count: results.length,
+    results
+  };
+}
+
+function createEntityPage(graph, claimId) {
+  const summary = graph.claimSummaries.find((item) => item.claimId === claimId);
+  if (!summary) throw new Error(`Unknown claim: ${claimId}`);
+  const claim = graph.nodes.find((node) => node.id === claimId);
+  const relatedEdges = graph.edges.filter((edge) => edge.from === claimId || edge.to === claimId);
+  const signalNodes = summary.signals.map((signal) => graph.nodes.find((node) => node.id === `signal:${signal.id}`));
+  return {
+    id: claimId,
+    title: summary.title,
+    type: "ScientificClaim",
+    domain: summary.domain,
+    treatment: summary.treatment,
+    replicationScore: summary.netScore,
+    requiredActions: summary.requiredActions,
+    relationships: relatedEdges,
+    replicationSignals: signalNodes,
+    jsonLd: {
+      "@context": "https://schema.org",
+      "@type": "ScholarlyArticle",
+      identifier: claimId,
+      headline: claim.title,
+      about: claim.conceptIds || [],
+      isBasedOn: claim.datasetIds || [],
+      measurementTechnique: claim.methodIds || [],
+      additionalProperty: [
+        {
+          "@type": "PropertyValue",
+          name: "SCIBASE replication treatment",
+          value: summary.treatment
+        },
+        {
+          "@type": "PropertyValue",
+          name: "SCIBASE replication score",
+          value: summary.netScore
+        }
+      ]
+    }
+  };
+}
+
+function renderGraphSvg(graph) {
+  const width = 900;
+  const rowHeight = 92;
+  const height = 120 + graph.claimSummaries.length * rowHeight;
+  const rows = graph.claimSummaries
+    .map((summary, index) => {
+      const y = 90 + index * rowHeight;
+      const color =
+        summary.treatment === "suppress_recommendation"
+          ? "#b42318"
+          : summary.treatment === "show_with_replication_caution"
+            ? "#b54708"
+            : summary.treatment === "promote_as_replicated"
+              ? "#027a48"
+              : "#175cd3";
+      const barWidth = Math.round((summary.netScore + 1) * 180);
+      return [
+        `<g transform="translate(40 ${y})">`,
+        `<rect x="0" y="0" width="820" height="72" rx="8" fill="#ffffff" stroke="#d0d5dd"/>`,
+        `<text x="18" y="26" font-family="Arial" font-size="17" fill="#101828">${escapeXml(summary.title)}</text>`,
+        `<text x="18" y="52" font-family="Arial" font-size="12" fill="#475467">${escapeXml(summary.treatment)} | positive ${summary.positiveSupport} | negative ${summary.negativePressure}</text>`,
+        `<rect x="560" y="24" width="360" height="16" rx="8" fill="#f2f4f7" transform="scale(.8 1)"/>`,
+        `<rect x="560" y="24" width="${barWidth}" height="16" rx="8" fill="${color}" transform="scale(.8 1)"/>`,
+        `<text x="745" y="36" font-family="Arial" font-size="12" fill="#101828">score ${summary.netScore}</text>`,
+        `</g>`
+      ].join("");
+    })
+    .join("");
+
+  return [
+    `<svg xmlns="http://www.w3.org/2000/svg" width="${width}" height="${height}" viewBox="0 0 ${width} ${height}">`,
+    `<rect width="${width}" height="${height}" fill="#f8fafc"/>`,
+    `<text x="40" y="42" font-family="Arial" font-size="26" font-weight="700" fill="#101828">Negative Evidence Replication Graph</text>`,
+    `<text x="40" y="66" font-family="Arial" font-size="14" fill="#475467">Failed replications and null results become graph signals before recommendations are shown.</text>`,
+    rows,
+    `</svg>`
+  ].join("");
+}
+
+function escapeXml(value) {
+  return String(value)
+    .replace(/&/g, "&amp;")
+    .replace(/</g, "&lt;")
+    .replace(/>/g, "&gt;")
+    .replace(/"/g, "&quot;");
+}
+
+module.exports = {
+  NODE_TYPES,
+  OUTCOME_WEIGHTS,
+  buildReplicationSignalGraph,
+  createEntityPage,
+  evidenceQuality,
+  queryGraph,
+  renderGraphSvg,
+  signalStrength,
+  summarizeClaim
+};
diff --git a/negative-evidence-replication-graph/requirements-map.md b/negative-evidence-replication-graph/requirements-map.md
new file mode 100644
index 00000000..80a48848
--- /dev/null
+++ b/negative-evidence-replication-graph/requirements-map.md
@@ -0,0 +1,21 @@
+# Requirements Map
+
+## Issue #17: Scientific Knowledge Graph Integration
+
+| Requirement | Coverage |
+| --- | --- |
+| Entity extraction and typed graph nodes | `buildReplicationSignalGraph` creates typed claim, concept, method, dataset, protocol, paper, and replication-signal nodes from structured scientific objects. |
+| Linked data and schema.org-compatible metadata | `createEntityPage` emits a schema.org JSON-LD packet with replication treatment and score metadata. |
+| Knowledge navigation | `queryGraph` filters claim summaries by domain, score, and recommendation treatment, enabling graph journeys such as suppressed claims or caution-only findings. |
+| AI research recommendations | `recommendationDigest` ranks claims while attaching treatment and rationale so AI recommendations do not promote contradicted claims. |
+| Reproducibility and evidence context | Replication reports score method match, sample overlap, preregistration, protocol availability, and lab independence before changing recommendation treatment. |
+| Knowledge gaps and underexplored intersections | `publicationBiasAlerts` identifies domains with high-confidence claims but no registered null/failed replication evidence. |
+| Entity pages with aggregated data | `createEntityPage` includes relationships, replication signals, required curator actions, JSON-LD, and a replication score. |
+| Tests and demo | `test.js` covers positive support, failed replication suppression, inconclusive caution, query behavior, schema output, and edge evidence quality. `demo.js` emits JSON and SVG artifacts. |
+
+## Acceptance Notes
+
+- Synthetic data only; no external service calls or private data.
+- No dependencies beyond Node.js standard library.
+- Failed replications and negative results are explicit graph nodes, not comments or untyped metadata.
+- Strong failed replication evidence suppresses AI recommendation output while preserving an auditable entity page for reviewers.
diff --git a/negative-evidence-replication-graph/sample-data.js b/negative-evidence-replication-graph/sample-data.js
new file mode 100644
index 00000000..4ac99fef
--- /dev/null
+++ b/negative-evidence-replication-graph/sample-data.js
@@ -0,0 +1,194 @@
+"use strict";
+
+module.exports = {
+  concepts: [
+    {
+      id: "concept:crispr-neuroinflammation",
+      title: "CRISPR neuroinflammation screen",
+      ontology: "MeSH:D000077592"
+    },
+    {
+      id: "concept:organoid-dose-response",
+      title: "Organoid dose response",
+      ontology: "schema:MedicalStudy"
+    },
+    {
+      id: "concept:graphene-biosensor",
+      title: "Graphene biosensor sensitivity",
+      ontology: "PubChem:graphene"
+    }
+  ],
+  methods: [
+    {
+      id: "method:single-cell-rna",
+      title: "Single-cell RNA sequencing"
+    },
+    {
+      id: "method:live-cell-imaging",
+      title: "Live-cell imaging"
+    },
+    {
+      id: "method:impedance-sweep",
+      title: "Electrochemical impedance sweep"
+    }
+  ],
+  papers: [
+    {
+      id: "paper:alpha-2025",
+      title: "Alpha pathway suppresses inflammatory marker release",
+      doi: "10.0000/scibase.alpha.2025"
+    },
+    {
+      id: "paper:beta-2025",
+      title: "Beta compound improves organoid viability at low dose",
+      doi: "10.0000/scibase.beta.2025"
+    }
+  ],
+  datasets: [
+    {
+      id: "dataset:alpha-counts-v1",
+      title: "Alpha screen raw counts v1",
+      license: "CC-BY-4.0",
+      checksum: "sha256:4fe1-alpha"
+    },
+    {
+      id: "dataset:beta-organoid-v2",
+      title: "Beta organoid dose response v2",
+      license: "CC-BY-NC-4.0",
+      checksum: "sha256:89af-beta"
+    },
+    {
+      id: "dataset:graphene-sensor-v1",
+      title: "Graphene impedance sensor sweep",
+      license: "CC0-1.0",
+      checksum: "sha256:77be-graphene"
+    }
+  ],
+  protocols: [
+    {
+      id: "protocol:alpha-crispr-v3",
+      title: "Alpha CRISPR screen protocol v3",
+      version: "3.0.1"
+    },
+    {
+      id: "protocol:beta-organoid-v4",
+      title: "Beta organoid protocol v4",
+      version: "4.2.0"
+    },
+    {
+      id: "protocol:graphene-sensor-v2",
+      title: "Graphene sensor protocol v2",
+      version: "2.0.0"
+    }
+  ],
+  claims: [
+    {
+      id: "claim:alpha-inflammatory-drop",
+      title: "Alpha pathway editing lowers IL-6 release in microglia",
+      domain: "neuroscience",
+      paperId: "paper:alpha-2025",
+      conceptIds: ["concept:crispr-neuroinflammation"],
+      methodIds: ["method:single-cell-rna"],
+      datasetIds: ["dataset:alpha-counts-v1"],
+      citations: 162,
+      reproducibilityScore: 0.76,
+      publicationConfidence: 0.81,
+      tags: ["crispr", "microglia", "inflammation"]
+    },
+    {
+      id: "claim:beta-organoid-rescue",
+      title: "Beta compound rescues organoid viability at low dose",
+      domain: "organoid-pharmacology",
+      paperId: "paper:beta-2025",
+      conceptIds: ["concept:organoid-dose-response"],
+      methodIds: ["method:live-cell-imaging"],
+      datasetIds: ["dataset:beta-organoid-v2"],
+      citations: 47,
+      reproducibilityScore: 0.54,
+      publicationConfidence: 0.61,
+      tags: ["organoid", "dose-response"]
+    },
+    {
+      id: "claim:graphene-ultra-sensitive",
+      title: "Graphene biosensor detects femtomolar protein concentrations",
+      domain: "materials-biosensing",
+      conceptIds: ["concept:graphene-biosensor"],
+      methodIds: ["method:impedance-sweep"],
+      datasetIds: ["dataset:graphene-sensor-v1"],
+      citations: 91,
+      reproducibilityScore: 0.69,
+      publicationConfidence: 0.75,
+      tags: ["graphene", "biosensor"]
+    }
+  ],
+  replicationReports: [
+    {
+      id: "rep:alpha-lab-b-positive",
+      title: "Independent alpha screen reproduces IL-6 effect",
+      claimId: "claim:alpha-inflammatory-drop",
+      outcome: "replicated",
+      lab: "Lab B",
+      reportedAt: "2026-04-18",
+      confidence: 0.82,
+      methodMatch: 0.92,
+      sampleOverlap: 0.77,
+      protocolAvailable: true,
+      independentLab: true,
+      preregistered: true,
+      datasetId: "dataset:alpha-counts-v1",
+      protocolId: "protocol:alpha-crispr-v3",
+      methodId: "method:single-cell-rna"
+    },
+    {
+      id: "rep:beta-null-dose",
+      title: "Low-dose beta rescue not observed in blinded run",
+      claimId: "claim:beta-organoid-rescue",
+      outcome: "negative_result",
+      lab: "Organoid Core West",
+      reportedAt: "2026-04-21",
+      confidence: 0.79,
+      methodMatch: 0.84,
+      sampleOverlap: 0.73,
+      protocolAvailable: true,
+      independentLab: true,
+      preregistered: true,
+      datasetId: "dataset:beta-organoid-v2",
+      protocolId: "protocol:beta-organoid-v4",
+      methodId: "method:live-cell-imaging"
+    },
+    {
+      id: "rep:beta-failed-media",
+      title: "Beta compound failed replication under matched media",
+      claimId: "claim:beta-organoid-rescue",
+      outcome: "failed_replication",
+      lab: "Consortium Lab 4",
+      reportedAt: "2026-05-02",
+      confidence: 0.86,
+      methodMatch: 0.91,
+      sampleOverlap: 0.81,
+      protocolAvailable: true,
+      independentLab: true,
+      preregistered: false,
+      datasetId: "dataset:beta-organoid-v2",
+      protocolId: "protocol:beta-organoid-v4",
+      methodId: "method:live-cell-imaging"
+    },
+    {
+      id: "rep:graphene-inconclusive",
+      title: "Graphene sensor replication inconclusive after humidity drift",
+      claimId: "claim:graphene-ultra-sensitive",
+      outcome: "inconclusive",
+      lab: "Materials Lab North",
+      reportedAt: "2026-05-05",
+      confidence: 0.58,
+      methodMatch: 0.66,
+      sampleOverlap: 0.69,
+      protocolAvailable: false,
+      independentLab: true,
+      preregistered: false,
+      datasetId: "dataset:graphene-sensor-v1",
+      protocolId: "protocol:graphene-sensor-v2",
+      methodId: "method:impedance-sweep"
+    }
+  ]
+};
diff --git a/negative-evidence-replication-graph/test.js b/negative-evidence-replication-graph/test.js
new file mode 100644
index 00000000..8d9635f9
--- /dev/null
+++ b/negative-evidence-replication-graph/test.js
@@ -0,0 +1,56 @@
+"use strict";
+
+const assert = require("node:assert/strict");
+const {
+  buildReplicationSignalGraph,
+  createEntityPage,
+  evidenceQuality,
+  queryGraph,
+  signalStrength
+} = require("./index");
+const sampleData = require("./sample-data");
+
+const graph = buildReplicationSignalGraph(sampleData);
+
+assert.equal(graph.stats.claimCount, 3);
+assert.equal(graph.stats.replicationSignalCount, 4);
+assert.ok(graph.stats.edgeCount >= 15);
+
+const beta = graph.claimSummaries.find((summary) => summary.claimId === "claim:beta-organoid-rescue");
+assert.equal(beta.treatment, "suppress_recommendation");
+assert.ok(beta.negativePressure > 1);
+assert.ok(beta.requiredActions.includes("open_curator_review"));
+assert.ok(beta.requiredActions.includes("remove_from_ai_recommendation_digest"));
+
+const alpha = graph.claimSummaries.find((summary) => summary.claimId === "claim:alpha-inflammatory-drop");
+assert.equal(alpha.treatment, "promote_as_replicated");
+assert.ok(alpha.positiveSupport > 0.7);
+
+const graphene = graph.claimSummaries.find((summary) => summary.claimId === "claim:graphene-ultra-sensitive");
+assert.equal(graphene.treatment, "show_with_replication_caution");
+assert.ok(graphene.requiredActions.includes("request_method_detail_before_digesting"));
+
+const betaSignal = sampleData.replicationReports.find((report) => report.id === "rep:beta-failed-media");
+assert.ok(evidenceQuality(betaSignal) > 0.7);
+assert.ok(signalStrength(betaSignal) < -0.7);
+
+const cautious = queryGraph(graph, { treatment: "show_with_replication_caution" });
+assert.equal(cautious.count, 1);
+assert.equal(cautious.results[0].claimId, "claim:graphene-ultra-sensitive");
+
+const neuroscience = queryGraph(graph, { domain: "neuroscience", minimumScore: 0.5 });
+assert.equal(neuroscience.count, 1);
+assert.equal(neuroscience.results[0].claimId, "claim:alpha-inflammatory-drop");
+
+const entityPage = createEntityPage(graph, "claim:beta-organoid-rescue");
+assert.equal(entityPage.type, "ScientificClaim");
+assert.equal(entityPage.treatment, "suppress_recommendation");
+assert.equal(entityPage.replicationSignals.length, 2);
+assert.equal(entityPage.jsonLd["@context"], "https://schema.org");
+assert.equal(entityPage.jsonLd.additionalProperty[0].value, "suppress_recommendation");
+
+const signalEdges = graph.edges.filter((edge) => edge.type === "evaluates_claim");
+assert.equal(signalEdges.length, 4);
+assert.ok(signalEdges.every((edge) => typeof edge.evidence.quality === "number"));
+
+console.log("negative-evidence-replication-graph tests passed");