Dummy agent (BioML-bench)
Dummy agent: Uninformative predictions, random or zero depending on the task.
Overview
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Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.
Evaluations and results
6 evaluations · 20 results. Different protocols are not a single leaderboard.
Sorted by Leaderboard percentile (mean over tasks in the domain; non-penalized: runs without a valid submission omitted) (higher is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.
| Tested configuration | Protocol and dataset | Leaderboard percentile (mean over tasks in the domain; non-penalized: runs without a valid submission omitted) | Leaderboard percentile (mean over tasks in the domain; penalized: runs without a valid submission scored as percentile 0) | Proportion (share of tasks where the agent reaches a public leaderboard medal threshold, MLE-bench definition (Section 3.4); non-penalized: runs without a valid submission omitted) | Proportion (share of tasks where the agent reaches a public leaderboard medal threshold, MLE-bench definition (Section 3.4); penalized: runs without a valid submission scored as percentile 0) | Proportion (share of tasks where the agent's mean score exceeds the median human leaderboard submission (Section 3.4 definition); non-penalized: runs without a valid submission omitted) | Proportion (share of tasks where the agent's mean score exceeds the median human leaderboard submission (Section 3.4 definition); penalized: runs without a valid submission scored as percentile 0) | Rank (mean relative rank among the five Table 4 agents (Dummy, MLAgentBench, AIDE, STELLA, Biomni) by leaderboard percentile, over tasks in the domain; non-penalized: runs without a valid submission omitted) | Rank (mean relative rank among the five Table 4 agents (Dummy, MLAgentBench, AIDE, STELLA, Biomni) by leaderboard percentile, over tasks in the domain; penalized: runs without a valid submission scored as percentile 0) |
|---|---|---|---|---|---|---|---|---|---|
| Dummy agent (BioML-bench)Evaluation | BioML-bench single cell omics domain: agent leaderboard percentile over 5 tasks, BioML-bench v0.1-alpha single cell omics tasks (5 tasks) | 7.34 ± 4.52% (best in column) | Not reported | 0.0 ± 0.0% (best in column) | Not reported | 0.0 ± 0.0% (best in column) | Not reported | 4.80 ± 0.20 | Not reported |
| Dummy agent (BioML-bench)Evaluation | BioML-bench drug discovery domain: agent leaderboard percentile over 9 tasks, BioML-bench v0.1-alpha drug discovery tasks (9 tasks) | 1.11 ± 1.11% | Not reported | 0.0 ± 0.0% (best in column) | Not reported | 0.0 ± 0.0% (best in column) | Not reported | Not reported | Not reported |
| Dummy agent (BioML-bench)Evaluation | BioML-bench protein engineering domain: agent leaderboard percentile over 6 tasks, BioML-bench v0.1-alpha protein engineering tasks (6 tasks) | 0.00 ± 0.00% | Not reported | 0.0 ± 0.0% (best in column) | Not reported | 0.0 ± 0.0% (best in column) | Not reported | Not reported | Not reported |
| Dummy agent (BioML-bench)Evaluation | BioML-bench drug discovery domain: agent leaderboard percentile over 9 tasks, BioML-bench v0.1-alpha drug discovery tasks (9 tasks) | Not reported | 1.11 ± 1.11% | Not reported | 0.0 ± 0.0% (best in column) | Not reported | 0.0 ± 0.0% (best in column) | Not reported | Not reported |
| Dummy agent (BioML-bench)Evaluation | BioML-bench protein engineering domain: agent leaderboard percentile over 6 tasks, BioML-bench v0.1-alpha protein engineering tasks (6 tasks) | Not reported | 0.00 ± 0.00% | Not reported | 0.0 ± 0.0% (best in column) | Not reported | 0.0 ± 0.0% (best in column) | Not reported | Not reported |
| Dummy agent (BioML-bench)Evaluation | BioML-bench single cell omics domain: agent leaderboard percentile over 5 tasks, BioML-bench v0.1-alpha single cell omics tasks (5 tasks) | Not reported | 7.34 ± 4.52% (best in column) | Not reported | 0.0 ± 0.0% (best in column) | Not reported | 0.0 ± 0.0% (best in column) | Not reported | 4.60 ± 0.40 |
All 20 result rows with coverage, uncertainty and sources
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| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: Dummy agent (BioML-bench) | Protocol: BioML-bench drug discovery domain: agent leaderboard percentile over 9 tasks Dataset subset: BioML-bench v0.1-alpha drug discovery tasks (9 tasks) | 0.0 ± 0.0% Proportion (share of tasks where the agent's mean score exceeds the median human leaderboard submission (Section 3.4 definition); non-penalized: runs without a valid submission omitted) percent · higher Uncertainty: ± 0.0 (type not stated). Table 4 caption does not name the spread. Figures 2 and 4 show per-domain leaderboard percentiles as mean ± SEM across tasks; the Table 2 caption refers to the reported SEM. Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDummy on BioML-bench drug discovery (non-penalized) lit-agents-20261013-biomlbench-protocol-drug-discovery Aggregation: Not reported BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML · Table 4 (page 12), block 'Non-penalized', domain 'Drug Discovery', row 'Dummy', column 'Above Median (%)' |
| Configuration: Dummy agent (BioML-bench) | Protocol: BioML-bench drug discovery domain: agent leaderboard percentile over 9 tasks Dataset subset: BioML-bench v0.1-alpha drug discovery tasks (9 tasks) | 0.0 ± 0.0% Proportion (share of tasks where the agent reaches a public leaderboard medal threshold, MLE-bench definition (Section 3.4); non-penalized: runs without a valid submission omitted) percent · higher Uncertainty: ± 0.0 (type not stated). Table 4 caption does not name the spread. Figures 2 and 4 show per-domain leaderboard percentiles as mean ± SEM across tasks; the Table 2 caption refers to the reported SEM. Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDummy on BioML-bench drug discovery (non-penalized) lit-agents-20261013-biomlbench-protocol-drug-discovery Aggregation: Not reported BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML · Table 4 (page 12), block 'Non-penalized', domain 'Drug Discovery', row 'Dummy', column 'Any Medal (%)' |
| Configuration: Dummy agent (BioML-bench) | Protocol: BioML-bench drug discovery domain: agent leaderboard percentile over 9 tasks Dataset subset: BioML-bench v0.1-alpha drug discovery tasks (9 tasks) | 1.11 ± 1.11% Leaderboard percentile (mean over tasks in the domain; non-penalized: runs without a valid submission omitted) percent · higher Uncertainty: ± 1.11 (type not stated). Table 4 caption does not name the spread. Figures 2 and 4 show per-domain leaderboard percentiles as mean ± SEM across tasks; the Table 2 caption refers to the reported SEM. Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDummy on BioML-bench drug discovery (non-penalized) lit-agents-20261013-biomlbench-protocol-drug-discovery Aggregation: Not reported BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML · Table 4 (page 12), block 'Non-penalized', domain 'Drug Discovery', row 'Dummy', column 'Leaderboard Percentile' |
| Configuration: Dummy agent (BioML-bench) | Protocol: BioML-bench drug discovery domain: agent leaderboard percentile over 9 tasks Dataset subset: BioML-bench v0.1-alpha drug discovery tasks (9 tasks) | 0.0 ± 0.0% Proportion (share of tasks where the agent's mean score exceeds the median human leaderboard submission (Section 3.4 definition); penalized: runs without a valid submission scored as percentile 0) percent · higher Uncertainty: ± 0.0 (type not stated). Table 4 caption does not name the spread. Figures 2 and 4 show per-domain leaderboard percentiles as mean ± SEM across tasks; the Table 2 caption refers to the reported SEM. Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDummy on BioML-bench drug discovery (penalized) lit-agents-20261013-biomlbench-protocol-drug-discovery Aggregation: Not reported BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML · Table 4 (page 12), block 'Penalized', domain 'Drug Discovery', row 'Dummy', column 'Above Median (%)' |
| Configuration: Dummy agent (BioML-bench) | Protocol: BioML-bench drug discovery domain: agent leaderboard percentile over 9 tasks Dataset subset: BioML-bench v0.1-alpha drug discovery tasks (9 tasks) | 0.0 ± 0.0% Proportion (share of tasks where the agent reaches a public leaderboard medal threshold, MLE-bench definition (Section 3.4); penalized: runs without a valid submission scored as percentile 0) percent · higher Uncertainty: ± 0.0 (type not stated). Table 4 caption does not name the spread. Figures 2 and 4 show per-domain leaderboard percentiles as mean ± SEM across tasks; the Table 2 caption refers to the reported SEM. Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDummy on BioML-bench drug discovery (penalized) lit-agents-20261013-biomlbench-protocol-drug-discovery Aggregation: Not reported BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML · Table 4 (page 12), block 'Penalized', domain 'Drug Discovery', row 'Dummy', column 'Any Medal (%)' |
| Configuration: Dummy agent (BioML-bench) | Protocol: BioML-bench drug discovery domain: agent leaderboard percentile over 9 tasks Dataset subset: BioML-bench v0.1-alpha drug discovery tasks (9 tasks) | 1.11 ± 1.11% Leaderboard percentile (mean over tasks in the domain; penalized: runs without a valid submission scored as percentile 0) percent · higher Uncertainty: ± 1.11 (type not stated). Table 4 caption does not name the spread. Figures 2 and 4 show per-domain leaderboard percentiles as mean ± SEM across tasks; the Table 2 caption refers to the reported SEM. Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDummy on BioML-bench drug discovery (penalized) lit-agents-20261013-biomlbench-protocol-drug-discovery Aggregation: Not reported BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML · Table 4 (page 12), block 'Penalized', domain 'Drug Discovery', row 'Dummy', column 'Leaderboard Percentile' |
| Configuration: Dummy agent (BioML-bench) | Protocol: BioML-bench protein engineering domain: agent leaderboard percentile over 6 tasks Dataset subset: BioML-bench v0.1-alpha protein engineering tasks (6 tasks) | 0.0 ± 0.0% Proportion (share of tasks where the agent's mean score exceeds the median human leaderboard submission (Section 3.4 definition); non-penalized: runs without a valid submission omitted) percent · higher Uncertainty: ± 0.0 (type not stated). Table 4 caption does not name the spread. Figures 2 and 4 show per-domain leaderboard percentiles as mean ± SEM across tasks; the Table 2 caption refers to the reported SEM. Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDummy on BioML-bench protein engineering (non-penalized) lit-agents-20261013-biomlbench-protocol-protein-engineering Aggregation: Not reported BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML · Table 4 (page 12), block 'Non-penalized', domain 'Protein Engineering', row 'Dummy', column 'Above Median (%)' |
| Configuration: Dummy agent (BioML-bench) | Protocol: BioML-bench protein engineering domain: agent leaderboard percentile over 6 tasks Dataset subset: BioML-bench v0.1-alpha protein engineering tasks (6 tasks) | 0.0 ± 0.0% Proportion (share of tasks where the agent reaches a public leaderboard medal threshold, MLE-bench definition (Section 3.4); non-penalized: runs without a valid submission omitted) percent · higher Uncertainty: ± 0.0 (type not stated). Table 4 caption does not name the spread. Figures 2 and 4 show per-domain leaderboard percentiles as mean ± SEM across tasks; the Table 2 caption refers to the reported SEM. Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDummy on BioML-bench protein engineering (non-penalized) lit-agents-20261013-biomlbench-protocol-protein-engineering Aggregation: Not reported BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML · Table 4 (page 12), block 'Non-penalized', domain 'Protein Engineering', row 'Dummy', column 'Any Medal (%)' |
| Configuration: Dummy agent (BioML-bench) | Protocol: BioML-bench protein engineering domain: agent leaderboard percentile over 6 tasks Dataset subset: BioML-bench v0.1-alpha protein engineering tasks (6 tasks) | 0.00 ± 0.00% Leaderboard percentile (mean over tasks in the domain; non-penalized: runs without a valid submission omitted) percent · higher Uncertainty: ± 0.00 (type not stated). Table 4 caption does not name the spread. Figures 2 and 4 show per-domain leaderboard percentiles as mean ± SEM across tasks; the Table 2 caption refers to the reported SEM. Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDummy on BioML-bench protein engineering (non-penalized) lit-agents-20261013-biomlbench-protocol-protein-engineering Aggregation: Not reported BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML · Table 4 (page 12), block 'Non-penalized', domain 'Protein Engineering', row 'Dummy', column 'Leaderboard Percentile' |
| Configuration: Dummy agent (BioML-bench) | Protocol: BioML-bench protein engineering domain: agent leaderboard percentile over 6 tasks Dataset subset: BioML-bench v0.1-alpha protein engineering tasks (6 tasks) | 0.0 ± 0.0% Proportion (share of tasks where the agent's mean score exceeds the median human leaderboard submission (Section 3.4 definition); penalized: runs without a valid submission scored as percentile 0) percent · higher Uncertainty: ± 0.0 (type not stated). Table 4 caption does not name the spread. Figures 2 and 4 show per-domain leaderboard percentiles as mean ± SEM across tasks; the Table 2 caption refers to the reported SEM. Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDummy on BioML-bench protein engineering (penalized) lit-agents-20261013-biomlbench-protocol-protein-engineering Aggregation: Not reported BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML · Table 4 (page 12), block 'Penalized', domain 'Protein Engineering', row 'Dummy', column 'Above Median (%)' |
| Configuration: Dummy agent (BioML-bench) | Protocol: BioML-bench protein engineering domain: agent leaderboard percentile over 6 tasks Dataset subset: BioML-bench v0.1-alpha protein engineering tasks (6 tasks) | 0.0 ± 0.0% Proportion (share of tasks where the agent reaches a public leaderboard medal threshold, MLE-bench definition (Section 3.4); penalized: runs without a valid submission scored as percentile 0) percent · higher Uncertainty: ± 0.0 (type not stated). Table 4 caption does not name the spread. Figures 2 and 4 show per-domain leaderboard percentiles as mean ± SEM across tasks; the Table 2 caption refers to the reported SEM. Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDummy on BioML-bench protein engineering (penalized) lit-agents-20261013-biomlbench-protocol-protein-engineering Aggregation: Not reported BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML · Table 4 (page 12), block 'Penalized', domain 'Protein Engineering', row 'Dummy', column 'Any Medal (%)' |
| Configuration: Dummy agent (BioML-bench) | Protocol: BioML-bench protein engineering domain: agent leaderboard percentile over 6 tasks Dataset subset: BioML-bench v0.1-alpha protein engineering tasks (6 tasks) | 0.00 ± 0.00% Leaderboard percentile (mean over tasks in the domain; penalized: runs without a valid submission scored as percentile 0) percent · higher Uncertainty: ± 0.00 (type not stated). Table 4 caption does not name the spread. Figures 2 and 4 show per-domain leaderboard percentiles as mean ± SEM across tasks; the Table 2 caption refers to the reported SEM. Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDummy on BioML-bench protein engineering (penalized) lit-agents-20261013-biomlbench-protocol-protein-engineering Aggregation: Not reported BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML · Table 4 (page 12), block 'Penalized', domain 'Protein Engineering', row 'Dummy', column 'Leaderboard Percentile' |
| Configuration: Dummy agent (BioML-bench) | Protocol: BioML-bench single cell omics domain: agent leaderboard percentile over 5 tasks Dataset subset: BioML-bench v0.1-alpha single cell omics tasks (5 tasks) | 0.0 ± 0.0% Proportion (share of tasks where the agent's mean score exceeds the median human leaderboard submission (Section 3.4 definition); non-penalized: runs without a valid submission omitted) percent · higher Uncertainty: ± 0.0 (type not stated). Table 4 caption does not name the spread. Figures 2 and 4 show per-domain leaderboard percentiles as mean ± SEM across tasks; the Table 2 caption refers to the reported SEM. Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDummy on BioML-bench single cell omics (non-penalized) lit-agents-20261013-biomlbench-protocol-single-cell-omics Aggregation: Not reported BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML · Table 4 (page 12), block 'Non-penalized', domain 'Single Cell Omics', row 'Dummy', column 'Above Median (%)' |
| Configuration: Dummy agent (BioML-bench) | Protocol: BioML-bench single cell omics domain: agent leaderboard percentile over 5 tasks Dataset subset: BioML-bench v0.1-alpha single cell omics tasks (5 tasks) | 0.0 ± 0.0% Proportion (share of tasks where the agent reaches a public leaderboard medal threshold, MLE-bench definition (Section 3.4); non-penalized: runs without a valid submission omitted) percent · higher Uncertainty: ± 0.0 (type not stated). Table 4 caption does not name the spread. Figures 2 and 4 show per-domain leaderboard percentiles as mean ± SEM across tasks; the Table 2 caption refers to the reported SEM. Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDummy on BioML-bench single cell omics (non-penalized) lit-agents-20261013-biomlbench-protocol-single-cell-omics Aggregation: Not reported BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML · Table 4 (page 12), block 'Non-penalized', domain 'Single Cell Omics', row 'Dummy', column 'Any Medal (%)' |
| Configuration: Dummy agent (BioML-bench) | Protocol: BioML-bench single cell omics domain: agent leaderboard percentile over 5 tasks Dataset subset: BioML-bench v0.1-alpha single cell omics tasks (5 tasks) | 7.34 ± 4.52% Leaderboard percentile (mean over tasks in the domain; non-penalized: runs without a valid submission omitted) percent · higher Uncertainty: ± 4.52 (type not stated). Table 4 caption does not name the spread. Figures 2 and 4 show per-domain leaderboard percentiles as mean ± SEM across tasks; the Table 2 caption refers to the reported SEM. Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDummy on BioML-bench single cell omics (non-penalized) lit-agents-20261013-biomlbench-protocol-single-cell-omics Aggregation: Not reported BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML · Table 4 (page 12), block 'Non-penalized', domain 'Single Cell Omics', row 'Dummy', column 'Leaderboard Percentile' |
| Configuration: Dummy agent (BioML-bench) | Protocol: BioML-bench single cell omics domain: agent leaderboard percentile over 5 tasks Dataset subset: BioML-bench v0.1-alpha single cell omics tasks (5 tasks) | 4.80 ± 0.20 Rank (mean relative rank among the five Table 4 agents (Dummy, MLAgentBench, AIDE, STELLA, Biomni) by leaderboard percentile, over tasks in the domain; non-penalized: runs without a valid submission omitted) unitless · lower Uncertainty: ± 0.20 (type not stated). Table 4 caption does not name the spread. Figures 2 and 4 show per-domain leaderboard percentiles as mean ± SEM across tasks; the Table 2 caption refers to the reported SEM. Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDummy on BioML-bench single cell omics (non-penalized) lit-agents-20261013-biomlbench-protocol-single-cell-omics Aggregation: Not reported BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML · Table 4 (page 12), block 'Non-penalized', domain 'Single Cell Omics', row 'Dummy', column 'Mean Rank' |
| Configuration: Dummy agent (BioML-bench) | Protocol: BioML-bench single cell omics domain: agent leaderboard percentile over 5 tasks Dataset subset: BioML-bench v0.1-alpha single cell omics tasks (5 tasks) | 0.0 ± 0.0% Proportion (share of tasks where the agent's mean score exceeds the median human leaderboard submission (Section 3.4 definition); penalized: runs without a valid submission scored as percentile 0) percent · higher Uncertainty: ± 0.0 (type not stated). Table 4 caption does not name the spread. Figures 2 and 4 show per-domain leaderboard percentiles as mean ± SEM across tasks; the Table 2 caption refers to the reported SEM. Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDummy on BioML-bench single cell omics (penalized) lit-agents-20261013-biomlbench-protocol-single-cell-omics Aggregation: Not reported BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML · Table 4 (page 12), block 'Penalized', domain 'Single Cell Omics', row 'Dummy', column 'Above Median (%)' |
| Configuration: Dummy agent (BioML-bench) | Protocol: BioML-bench single cell omics domain: agent leaderboard percentile over 5 tasks Dataset subset: BioML-bench v0.1-alpha single cell omics tasks (5 tasks) | 0.0 ± 0.0% Proportion (share of tasks where the agent reaches a public leaderboard medal threshold, MLE-bench definition (Section 3.4); penalized: runs without a valid submission scored as percentile 0) percent · higher Uncertainty: ± 0.0 (type not stated). Table 4 caption does not name the spread. Figures 2 and 4 show per-domain leaderboard percentiles as mean ± SEM across tasks; the Table 2 caption refers to the reported SEM. Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDummy on BioML-bench single cell omics (penalized) lit-agents-20261013-biomlbench-protocol-single-cell-omics Aggregation: Not reported BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML · Table 4 (page 12), block 'Penalized', domain 'Single Cell Omics', row 'Dummy', column 'Any Medal (%)' |
| Configuration: Dummy agent (BioML-bench) | Protocol: BioML-bench single cell omics domain: agent leaderboard percentile over 5 tasks Dataset subset: BioML-bench v0.1-alpha single cell omics tasks (5 tasks) | 7.34 ± 4.52% Leaderboard percentile (mean over tasks in the domain; penalized: runs without a valid submission scored as percentile 0) percent · higher Uncertainty: ± 4.52 (type not stated). Table 4 caption does not name the spread. Figures 2 and 4 show per-domain leaderboard percentiles as mean ± SEM across tasks; the Table 2 caption refers to the reported SEM. Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDummy on BioML-bench single cell omics (penalized) lit-agents-20261013-biomlbench-protocol-single-cell-omics Aggregation: Not reported BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML · Table 4 (page 12), block 'Penalized', domain 'Single Cell Omics', row 'Dummy', column 'Leaderboard Percentile' |
| Configuration: Dummy agent (BioML-bench) | Protocol: BioML-bench single cell omics domain: agent leaderboard percentile over 5 tasks Dataset subset: BioML-bench v0.1-alpha single cell omics tasks (5 tasks) | 4.60 ± 0.40 Rank (mean relative rank among the five Table 4 agents (Dummy, MLAgentBench, AIDE, STELLA, Biomni) by leaderboard percentile, over tasks in the domain; penalized: runs without a valid submission scored as percentile 0) unitless · lower Uncertainty: ± 0.40 (type not stated). Table 4 caption does not name the spread. Figures 2 and 4 show per-domain leaderboard percentiles as mean ± SEM across tasks; the Table 2 caption refers to the reported SEM. Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDummy on BioML-bench single cell omics (penalized) lit-agents-20261013-biomlbench-protocol-single-cell-omics Aggregation: Not reported BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML · Table 4 (page 12), block 'Penalized', domain 'Single Cell Omics', row 'Dummy', column 'Mean Rank' |
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Sources and history
Release 2026-11-02-a7f03c9e55a5 · Record review: source checked
1 source record and release history
- BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML · Original source · bioRxiv 2025.09.01.673319 version 3, posted 2025-09-28 (versions 1 and 2 posted 2025-09-04 and 2025-09-07)
Technical metadata and extraction receipts
Stable ID: lit-agents-20261013-biomlbench-config-dummy
- areas
- molecular-interactions; protein-function; single-cell
- contexts
- research
- reported name
- Dummy
- parameters
- Uninformative predictions, random or zero depending on the task
- source locator
- Section 3.3
- missing metadata
- version: reason: unreported
- limitations
- Null control, not a method anyone would deploy.
- provenance note
- Agent configuration as run in BioML-bench (bioRxiv v3).
Related records
- configuration of: BioML-bench Dummy agent
- system: Dummy on BioML-bench drug discovery (non-penalized)
- system: Dummy on BioML-bench drug discovery (penalized)
- system: Dummy on BioML-bench protein engineering (non-penalized)
- system: Dummy on BioML-bench protein engineering (penalized)
- system: Dummy on BioML-bench single cell omics (non-penalized)
- system: Dummy on BioML-bench single cell omics (penalized)