GaiaLab

Trust & Transparency

Every claim is traceable. Contradictions are flagged. Runs are reproducible. This page provides full visibility into how GaiaLab scores and validates evidence.

Evidence Ledger
Contradiction Detection
Reproducible Snapshots

Live Trust Scoreboard

These metrics reflect the most recent analysis run stored in this browser. Evidence Density measures signal volume relative to gene inputs. Contradiction Index flags conflicting claims. Citation Coverage tracks the percentage of claims backed by sources. Quality Score is a composite confidence measure. Run a new analysis from the dashboard to refresh these values.
Evidence Density (EDS) ?
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Signal volume relative to inputs. Target: >60%
Contradiction Index (CI) ?
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Conflicting evidence ratio. Target: <15%
Citation Coverage ?
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Claims backed by PubMed citations. Target: >70%
Quality Score ?
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Composite confidence. Target: ≥80/100
Quality Score — Run History
No run history yet. Complete an analysis to start tracking.
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How to Read These Signals

Trust signals update after each analysis run. Use Evidence Density and Citation Coverage to gauge data richness. Monitor the Contradiction Index to identify areas requiring manual review. The Quality Score provides a single composite measure for triage decisions.

Latest Run Detail

Detailed breakdown of the most recent analysis. Data is stored locally in this browser session.

No analysis data available. Run an analysis from the dashboard to see results here.

Pipeline Overview

A six-stage pipeline that keeps evidence provenance, scoring, and replayability transparent at every step.

1. Input Normalization
2. Multi-source Retrieval
3. Cross-validation
4. Consensus Scoring
5. Evidence Ledger
6. Snapshot Archive

Evidence Ledger Format

Each claim is tracked with source identifiers, confidence tier, and constraint notes.

Claim Evidence IDs Confidence Notes
EGFR is implicated in NSCLC PMID:123456; OpenTargets:OTAR1234 High Strong agreement across sources
KRAS drives MAPK activation PMID:987654; KEGG:hsa04010 High Consensus across pathway databases

Confidence Scoring Policy

Confidence is consensus-weighted across independent sources. The formula applies diminishing returns, contradiction penalties, and a hard cap at 0.95 to prevent false certainty.

Scoring formula
agreement_bonus = 0.12 * (1 - exp(-0.9 * A))
contradiction_penalty = 0.25 * CI
final = clamp(base + bonus - penalty, 0, 0.95)

A = number of independent source domains in agreement
CI = contradiction index for this claim

Contradiction Handling

When sources disagree, GaiaLab does not average away conflict. Contradictions are surfaced with supporting and refuting evidence for manual adjudication.

Example: Conflicting evidence across cohorts
Severity: Medium
Support: PMID:112233
Refute: PMID:445566

Reproducible Snapshots

Every analysis produces a replayable snapshot containing inputs, source versions, scoring policy, model configuration, evidence ledger, and visualization state.

Safety & Scope