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.
5 citations5 with PMID5 mediumValidation: 0%5 supporting / 0 opposing
✓For(5)
5
No opposing evidence
(0)Against✗
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Evidence Matrix — sortable by strength/year, click Abstract to expand
Evidence Types
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Abstract
Peak oxygen uptake measured during a perceptually-…
International Benchmark for Total Metabolic Tumor Volume Measurement in Baseline (18)F-FDG PET/CT of Lymphoma …MEDIUM▼
International Benchmark for Total Metabolic Tumor Volume Measurement in Baseline (18)F-FDG PET/CT of Lymphoma Patients: A Milestone Toward Clinical Implementation.
Test-retest variability of various quantitative measures to characterize tracer uptake and/or tracer uptake he…MEDIUM▼
Test-retest variability of various quantitative measures to characterize tracer uptake and/or tracer uptake heterogeneity in metastasized liver for patients with colorectal carcinoma.
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.
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Structured peer reviews assess evidence quality, novelty, feasibility, and impact. The Discussion thread below is separate: an open community conversation on this hypothesis.
💬 Discussion
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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.
IF manual uptake test results are compared between high-throughput automated screening and low-throughput manual assay formats, THEN the automated format will detect smaller effect sizes (Cohen's d <0.5) with adequate power (>80%) compared to manual assays within standard 96-well assay timelines.
pendingconf: 0.30
Expected outcome: Automated high-throughput format will achieve power >80% to detect Cohen's d of 0.4 effect size, while manual format requires Cohen's d >0.8 for equivalent power
Falsified by: Manual format achieves equivalent statistical power to automated format for detecting effect sizes below Cohen's d 0.5
Method: Randomized controlled assay comparison using FDA-approved drug uptake inhibition panel (10 compounds at 3 concentrations), with n=3 biological replicates per condition, measured by both manual fluorescence microscopy and automated high-content imaging platforms
IF experimenters manually perform cellular uptake assessments using hemocytometer counting versus automated flow cytometry, THEN the manual method will show higher inter-observer variability (coefficient of variation >15%) within 48 hours of replicate analysis.
pendingconf: 0.25
Expected outcome: Manual uptake measurements will have coefficient of variation exceeding 15% between trained operators, while automated counting will maintain CV <10%
Falsified by: Manual measurements show CV <10% across observers, equivalent to or lower than automated methods
Method: Prospective comparison study using Fluorescently-labeled dextran uptake in HEK293 cells, with 5 trained operators performing manual hemocytometer counts and automated flow cytometry in parallel, blinded to condition assignments