| Comparison: metric implementation RMSE mean rank Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Original source ↗ Table 3, row(CPA ∗ (scGPT)), column(RMSE, mean rank) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 Retrieved: 2026-09-17T08:06:28.400469+00:00 | not individually reviewed No individual claim review recorded author reported Audit detailsField: attributes.comparison.metric_implementation Source artifact SHA-256: 5c4804565dd9faa17a11853a79e9847dcb6da73715b4c91f62e5b274cc79f186 Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact |
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| Comparison: protocol id perturbench-task-cb-rmse-rank Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Original source ↗ Table 3, row(CPA ∗ (scGPT)), column(RMSE, mean rank) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 Retrieved: 2026-09-17T08:06:28.400469+00:00 | not individually reviewed No individual claim review recorded author reported Audit detailsField: attributes.comparison.protocol_id Source artifact SHA-256: 5c4804565dd9faa17a11853a79e9847dcb6da73715b4c91f62e5b274cc79f186 Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact |
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| Origin author_reported Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Original source ↗ Table 3, row(CPA ∗ (scGPT)), column(RMSE, mean rank) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 Retrieved: 2026-09-17T08:06:28.400469+00:00 | not individually reviewed No individual claim review recorded author reported Audit detailsField: attributes.origin Source artifact SHA-256: 5c4804565dd9faa17a11853a79e9847dcb6da73715b4c91f62e5b274cc79f186 Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact |
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| Protocol Predict the effect of a pair of gene overexpressions from single perturbations, reported as the mean and one standard deviation over seeds. Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Original source ↗ Table 3, row(CPA ∗ (scGPT)), column(RMSE, mean rank) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 Retrieved: 2026-09-17T08:06:28.400469+00:00 | not individually reviewed No individual claim review recorded author reported Audit detailsField: attributes.protocol Source artifact SHA-256: 5c4804565dd9faa17a11853a79e9847dcb6da73715b4c91f62e5b274cc79f186 Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact |
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| Source location Table 3, row(CPA ∗ (scGPT)), column(RMSE, mean rank) Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Original source ↗ Table 3, row(CPA ∗ (scGPT)), column(RMSE, mean rank) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 Retrieved: 2026-09-17T08:06:28.400469+00:00 | not individually reviewed No individual claim review recorded author reported Audit detailsField: attributes.source_locator Source artifact SHA-256: 5c4804565dd9faa17a11853a79e9847dcb6da73715b4c91f62e5b274cc79f186 Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact |
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| Description PerturBench evaluation of CPA* (scGPT) on combination prediction on Norman19, RMSE mean rank, scored with RMSE mean rank. Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Original source ↗ Table 3, row(CPA ∗ (scGPT)), column(RMSE, mean rank) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 Retrieved: 2026-09-17T08:06:28.400469+00:00 | not individually reviewed No individual claim review recorded author reported Audit detailsField: description Source artifact SHA-256: 5c4804565dd9faa17a11853a79e9847dcb6da73715b4c91f62e5b274cc79f186 Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact |
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| Relationship: assessment perturbench-task-cb-rmse-rank Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Original source ↗ Table 3, row(CPA ∗ (scGPT)), column(RMSE, mean rank) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 Retrieved: 2026-09-17T08:06:28.400469+00:00 | not individually reviewed No individual claim review recorded author reported Audit detailsField: links:assessment:perturbench-task-cb-rmse-rank Source artifact SHA-256: 5c4804565dd9faa17a11853a79e9847dcb6da73715b4c91f62e5b274cc79f186 Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact |
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| Relationship: data perturbench-dataset-norman19 Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Original source ↗ Table 3, row(CPA ∗ (scGPT)), column(RMSE, mean rank) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 Retrieved: 2026-09-17T08:06:28.400469+00:00 | not individually reviewed No individual claim review recorded author reported Audit detailsField: links:data:perturbench-dataset-norman19 Source artifact SHA-256: 5c4804565dd9faa17a11853a79e9847dcb6da73715b4c91f62e5b274cc79f186 Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact |
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| Relationship: system perturbench-method-cpa-scgpt Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Original source ↗ Table 3, row(CPA ∗ (scGPT)), column(RMSE, mean rank) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 Retrieved: 2026-09-17T08:06:28.400469+00:00 | not individually reviewed No individual claim review recorded author reported Audit detailsField: links:system:perturbench-method-cpa-scgpt Source artifact SHA-256: 5c4804565dd9faa17a11853a79e9847dcb6da73715b4c91f62e5b274cc79f186 Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact |
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| Name CPA* (scGPT) on PerturBench CB-RMSE-RANK: combination prediction on Norman19, RMSE mean rank Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Original source ↗ Table 3, row(CPA ∗ (scGPT)), column(RMSE, mean rank) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 Retrieved: 2026-09-17T08:06:28.400469+00:00 | not individually reviewed No individual claim review recorded author reported Audit detailsField: name Source artifact SHA-256: 5c4804565dd9faa17a11853a79e9847dcb6da73715b4c91f62e5b274cc79f186 Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact |
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