Published comparison; transcribed, not reproduced.
These checks assess whether the evidence supports a reproducible investigation. A source-checked score alone does not meet these requirements.
Release 2026-10-10-6e93f504adfc · Evidence verified: Not verified
Exact outcomes, predictions, identifiers and evaluator are connected.
Missing or unresolved evidence
Verified: Not verified
Replay evidence includes annotations and an assessment of dependence. Unknown independence permits descriptive analysis only.
Missing or unresolved evidence
Verified: Not verified
A pinned recipe describes the inputs, environment and resource requirements.
Missing or unresolved evidence
Verified: Not verified
Separate data and exposure records support an independent test.
Missing or unresolved evidence
Verified: Not verified
Readiness describes the evidence in this release. Availability on your computer is checked separately when an investigation runs. Existing data exposure can prevent independent validation even when files are available.
No verified artifact manifest is connected to this record yet. The gaps above identify what is needed before analysis can begin.
1 evaluation · 1 result. Different protocols are not a single leaderboard.
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: GP over qwen-2-7b embeddings (Gupta et al. 2025) | Protocol: Independent replication of 1-gene perturbation design: cumulative hits after 5 rounds of 128 genes Dataset: Sanchez et al. 2021 screen, decreased endogenous tau protein level in neurons | 30 true-positive-count count · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceGP (Qwen-2-7B backbone) on Sanchez Down (Gupta et al. 2025) tgtval-20261009-protocol-gupta2025-cumulative-hits-round5 Aggregation: Not reported LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? · Table 2, 'Qwen-2-7B backbone' block, row 'GP', column 'Sanchez Down' |
Source checking is not independent reproduction. Release 2026-10-10-6e93f504adfc.
tgtval-20261009-protocol-gupta2025-cumulative-hits-round5
Metadata review: source checked. Unreported conditions prevent automatic comparisons.
No execution recipe has been verified for this exact configuration and evaluation. A benchmark's general instructions may use different inputs, splits or model settings.
Reproducing this published result requires matching its model configuration, data, split and scorer. Source checking or a successful smoke test does not establish score reproduction.
Source checking verifies the cited claim or transcription. It does not establish independent reproduction.
Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.
One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.
18 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.comparison.adaptation Selection only Context-only references | LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? Table 2, 'Qwen-2-7B backbone' block, row 'GP', column 'Sanchez Down' Version: Findings of the Association for Computational Linguistics: EMNLP 2025, pages 15482-15510 | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/extract_target_validation.py |
| attributes.comparison.aggregation Mean over 5 runs Context-only references | LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? Table 2, 'Qwen-2-7B backbone' block, row 'GP', column 'Sanchez Down' Version: Findings of the Association for Computational Linguistics: EMNLP 2025, pages 15482-15510 | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/extract_target_validation.py |
| attributes.comparison.budget 5 rounds x 128 genes Context-only references | LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? Table 2, 'Qwen-2-7B backbone' block, row 'GP', column 'Sanchez Down' Version: Findings of the Association for Computational Linguistics: EMNLP 2025, pages 15482-15510 | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/extract_target_validation.py |
| attributes.comparison.dataset_version Offline replay of the screen Context-only references | LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? Table 2, 'Qwen-2-7B backbone' block, row 'GP', column 'Sanchez Down' Version: Findings of the Association for Computational Linguistics: EMNLP 2025, pages 15482-15510 | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/extract_target_validation.py |
| attributes.comparison.inputs Phenotype description and the outcomes revealed in previous rounds, true or permuted Context-only references | LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? Table 2, 'Qwen-2-7B backbone' block, row 'GP', column 'Sanchez Down' Version: Findings of the Association for Computational Linguistics: EMNLP 2025, pages 15482-15510 | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/extract_target_validation.py |
| attributes.comparison.metric_implementation Not reported Context-only references | LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? Table 2, 'Qwen-2-7B backbone' block, row 'GP', column 'Sanchez Down' Version: Findings of the Association for Computational Linguistics: EMNLP 2025, pages 15482-15510 | missing or unspecified No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/extract_target_validation.py |
| attributes.comparison.population Genes assayed by the Sanchez Down screen Context-only references | LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? Table 2, 'Qwen-2-7B backbone' block, row 'GP', column 'Sanchez Down' Version: Findings of the Association for Computational Linguistics: EMNLP 2025, pages 15482-15510 | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/extract_target_validation.py |
| attributes.comparison.protocol_id tgtval-20261009-protocol-gupta2025-cumulative-hits-round5 Context-only references | LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? Table 2, 'Qwen-2-7B backbone' block, row 'GP', column 'Sanchez Down' Version: Findings of the Association for Computational Linguistics: EMNLP 2025, pages 15482-15510 | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/extract_target_validation.py |
| attributes.comparison.split No training split; 5 sequential selection rounds Context-only references | LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? Table 2, 'Qwen-2-7B backbone' block, row 'GP', column 'Sanchez Down' Version: Findings of the Association for Computational Linguistics: EMNLP 2025, pages 15482-15510 | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/extract_target_validation.py |
| attributes.origin independent_paper Context-only references | LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? Table 2, 'Qwen-2-7B backbone' block, row 'GP', column 'Sanchez Down' Version: Findings of the Association for Computational Linguistics: EMNLP 2025, pages 15482-15510 | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/extract_target_validation.py |
Release 2026-10-10-6e93f504adfc · Record review: source checked
Stable ID: tgtval-20261009-eval-gupta2025-gp-qwen-2-7b-sanchez2021-tau-down