Question
You are given two complementary datasets describing eight candidate distal regulatory element–promoter interactions (EP1–EP8): (1) a Hi-C–like chromatin contact dataset measuring 3D proximity between each element–promoter pairs (ep.interactions.q1.hic.csv) and (2) a CRISPR perturbation dataset measuring the effect of element disruption on promoter expression (ep.interactions.q1.expr.csv). Which E–P pair is least consistent with being a true causal regulatory element–promoter interaction when integrating both datasets? Choose exactly one: A) EP1 B) EP2 C) EP3 D) EP4 E) EP5 F) EP6 G) EP7. Reply with a single letter (A-G).
- Inferred answer
CUniquely inferred from submitted scores.
- Domain
- Epigenomics
- Question style
- Synthetic/Augmented Data
An answer can be uniquely inferred for 54 of 100 questions from submitted scores. Green: correct · Red: incorrect. For questions without a uniquely determined answer: Blue: matches prediction · Orange: differs from prediction. These are inferred answer checks, not official per-question grades.
Galaxy
12/12 terminal item results
UDT = user-defined tool: custom code executed by Galaxy. Route badges summarize analysis tools, excluding uploads and automatic conversions. How usage is counted.
Codex GPT-5.5
3 replicates
Codex GPT-5.5
Replicate 1
IncorrectUDT-only
AnswerF
WorkflowEP Q1 Integrated Causal Score→EP Q1 Regulatory Sensitivity
- Total tokens
- 520.1K
- Output
- 8.3K
Codex GPT-5.5
Replicate 2
IncorrectUDT + standard tools
AnswerF
WorkflowEP integration analysis→UDT render probe→UDT render probe v2→Datamash Ops
- Total tokens
- 1.4M
- Output
- 18.0K
Codex GPT-5.5
Replicate 3
IncorrectUDT + standard tools
AnswerF
WorkflowEP integration analysis→EP integration analysis v2→EP integration analysis v3→Csv To Tabular→Datamash Ops
- Total tokens
- 1.4M
- Output
- 13.3K
Codex GPT-5.6 Sol
3 replicates
Codex GPT-5.6 Sol
Replicate 1
CorrectUDT-only
AnswerC
WorkflowEP Hi-C distance-adjusted diagnostic→EP CRISPR expression diagnostic→EP integrated causal-consistency sensitivity analysis
- Total tokens
- 642.0K
- Output
- 7.9K
Codex GPT-5.6 Sol
Replicate 2
CorrectUDT-only
AnswerC
WorkflowEP interaction diagnostic summary→Final integrated EP causal assessment
- Total tokens
- 486.0K
- Output
- 9.1K
Codex GPT-5.6 Sol
Replicate 3
CorrectUDT + standard tools
AnswerC
WorkflowEP integrated diagnostics→EP integrated diagnostics v2→Csv To Tabular→Datamash Ops→Filter Tabular
- Total tokens
- 2.5M
- Output
- 13.0K
Codex + DeepSeek-v4-pro-0813
3 replicates
Codex + DeepSeek-v4-pro-0813
Replicate 1
CorrectStandard tools only
AnswerC
- Total tokens
- 8.9M
- Output
- 41.4K
Codex + DeepSeek-v4-pro-0813
Replicate 2
CorrectUDT + standard tools
AnswerC
WorkflowDatamash Ops→EP interactions integration→EP interactions meta-analysis
- Total tokens
- 8.8M
- Output
- 67.7K
Codex + DeepSeek-v4-pro-0813
Replicate 3
CorrectUDT + standard tools
AnswerC
WorkflowEP integrated analysis→UDT probe hi→UDT cat probe→UDT probe hi v2→UDT cat probe v2→2 more tools
- Total tokens
- 18.9M
- Output
- 63.9K
Codex GPT-5.6 Luna
3 replicates
Codex GPT-5.6 Luna
Replicate 1
CorrectStandard tools only
AnswerC
WorkflowCsv To Tabular→Datamash Ops→Group and aggregate
- Total tokens
- 1.5M
- Output
- 18.6K
Codex GPT-5.6 Luna
Replicate 2
CorrectStandard tools only
AnswerC
WorkflowCsv To Tabular→Datamash Ops
- Total tokens
- 14.3M
- Output
- 42.2K
Codex GPT-5.6 Luna
Replicate 3
CorrectUDT + standard tools
AnswerC
WorkflowCsv To Tabular→EP interaction integration diagnostic→EP interaction integration sensitivity diagnostics→EP interaction final rank discordance decision
- Total tokens
- 1.2M
- Output
- 24.9K