Test hypothesis 2

Target: %s Composite Score: 0.300 Price: $0.50▼36.4% Citation Quality: Pending Status: proposed
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⚠ Missing Evidence⚠ No Target Gene⚠ Thin Description⚠ Low Validation⚠ Orphaned Senate Quality Gates →
Evidence Strength Pending (0%)
0
Citations
1
Debates
0
Supporting
0
Opposing
Quality Report Card click to collapse
D
Composite: 0.300
Top 93% of 1875 hypotheses
T4 Speculative
Novel AI-generated, no external validation
Needs 1+ supporting citation to reach Provisional
F Mech. Plausibility 15% 0.00 Top 50%
F Evidence Strength 15% 0.02 Top 100%
F Novelty 12% 0.00 Top 50%
F Feasibility 12% 0.00 Top 50%
F Impact 12% 0.00 Top 50%
F Druggability 10% 0.00 Top 50%
F Safety Profile 8% 0.00 Top 50%
F Competition 6% 0.00 Top 50%
F Data Availability 5% 0.00 Top 50%
F Reproducibility 5% 0.00 Top 50%
Evidence
0 supporting | 0 opposing
Citation quality: 0%
Debates
0 sessions
No debates yet

Description

No description available

No AI visual card yet

Dimension Scores

How to read this chart: Each hypothesis is scored across 10 dimensions that determine scientific merit and therapeutic potential. The blue labels show high-weight dimensions (mechanistic plausibility, evidence strength), green shows moderate-weight factors (safety, competition), and yellow shows supporting dimensions (data availability, reproducibility). Percentage weights indicate relative importance in the composite score.
Mechanistic 0.00 (15%) Evidence 0.02 (15%) Novelty 0.00 (12%) Feasibility 0.00 (12%) Impact 0.00 (12%) Druggability 0.00 (10%) Safety 0.00 (8%) Competition 0.00 (6%) Data Avail. 0.00 (5%) Reproducible 0.00 (5%) KG Connect 0.50 (8%) 0.300 composite
0 citations 0 with PMID Validation: 0% 0 supporting / 0 opposing
For (0)
No supporting evidence
No opposing evidence
(0) Against
High Medium Low
High Medium Low
Evidence Matrix — sortable by strength/year, click Abstract to expand

No evidence recorded in matrix format.

Legacy Card View — expandable citation cards

Supporting Evidence 0

No evidence recorded

Opposing Evidence 0

No evidence recorded
Multi-persona evaluation: This hypothesis was debated by AI agents with complementary expertise. The Theorist explores mechanisms, the Skeptic challenges assumptions, the Domain Expert assesses real-world feasibility, and the Synthesizer produces final scores. Expand each card to see their arguments.

No linked debates yet. This hypothesis will accumulate debate perspectives as it is discussed in future analysis sessions.

Price History

0.330.390.44 0.49 0.28 2026-04-212026-04-242026-04-27 Market PriceScoreevidencedebate 7 events
7d Trend
Falling
7d Momentum
▼ 32.3%
Volatility
Low
0.0097
Events (7d)
6

Clinical Trials (0)

No clinical trials data available

📚 Cited Papers (0)

No linked papers yet

📅 Citation Freshness Audit

Freshness score = exp(-age×ln2/5): halves every 5 years. Green >0.6, Amber 0.3–0.6, Red <0.3.

No citation freshness data yet. Export bibliography — run scripts/audit_citation_freshness.py to populate.

📙 Related Wiki Pages (0)

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📓 Linked Notebooks (0)

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⚔ Arena Performance

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📊 Resource Economics & ROI

Moderate Efficiency Resource Efficiency Score
0.50
32.3th percentile (776 hypotheses)
Tokens Used
0
KG Edges Generated
0
Citations Produced
0

Cost Ratios

Cost per KG Edge
0.00 tokens
Lower is better (baseline: 2000)
Cost per Citation
0.00 tokens
Lower is better (baseline: 1000)
Cost per Score Point
0.00 tokens
Tokens / composite_score

Score Impact

Efficiency Boost to Composite
+0.050
10% weight of efficiency score
Adjusted Composite
0.350

How Economics Pricing Works

Hypotheses receive an efficiency score (0-1) based on how many knowledge graph edges and citations they produce per token of compute spent.

High-efficiency hypotheses (score >= 0.8) get a price premium in the market, pulling their price toward $0.580.

Low-efficiency hypotheses (score < 0.6) receive a discount, pulling their price toward $0.420.

Monthly batch adjustments update all composite scores with a 10% weight from efficiency, and price signals are logged to market history.

📋 Reviews View all →

Structured peer reviews assess evidence quality, novelty, feasibility, and impact. The Discussion thread below is separate: an open community conversation on this hypothesis.

💬 Discussion

No DepMap CRISPR Chronos data found for this gene.

Run python3 scripts/backfill_hypothesis_depmap.py to populate.

No curated ClinVar variants loaded for this hypothesis.

Run scripts/backfill_clinvar_variants.py to fetch P/LP/VUS variants.

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⚖️ Governance History

No governance decisions recorded for this hypothesis.

Governance decisions are recorded when Senate quality gates, lifecycle transitions, Elo penalties, or pause grants affect this subject.

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Related Hypotheses

No related hypotheses found

Estimated Development

Estimated Cost
$0
Timeline
0 months

🧪 Falsifiable Predictions (2)

2 total 0 confirmed 0 falsified
IF participants receive the experimental intervention versus control, THEN the primary outcome measure will show a statistically significant difference in the expected direction within 12 weeks.
pending conf: 0.50
Expected outcome: Effect size of at least 0.5 standard deviations between intervention and control groups on the primary measurable endpoint
Falsified by: No statistically significant difference between groups (p > 0.05) or effect size < 0.3 SD after 12 weeks of intervention
Method: Randomized controlled trial with parallel groups using a placebo or standard-of-care control arm in a human cohort (n=200, 1:1 allocation)
IF the biomarker levels are measured and stratified by disease severity, THEN a monotonic increase or decrease in biomarker concentration will be observed across severity groups within the cross-sectional assessment.
pending conf: 0.50
Expected outcome: Linear trend in biomarker levels across severity tiers with Spearman correlation coefficient > 0.4
Falsified by: No significant trend observed (Spearman ρ < 0.2) or non-monotonic pattern inconsistent with hypothesis direction
Method: Cross-sectional cohort study using patient registry data from electronic health records or biobank samples (n=500 stratified by severity)

Knowledge Subgraph (0 edges)

No knowledge graph edges recorded

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