| attributes.comparison.adaptation CNN trained by the authors on lentiMPRA activity using frozen embeddings of the named model Context-only references | Evaluating the representational power of pre-trained DNA language models for regulatory genomics Original source ↗ Table 1 row 'LentiMPRA-embedding' / 'CNN-SEI', column 'K562' Version: Genome Biology 26:203, published 2025-07-14; PMC12261763 full-text XML Retrieved: 2026-10-09T21:04:28Z | not individually reviewed No individual claim review recorded author reported Audit detailsField: attributes.comparison.adaptation Source artifact SHA-256: f6925cc2d93d0694ccc689970207c2df9b7b0d2562d276ede99f0c78d413b08b Hash scope: Hash scope not separately documented; inspect source record Inspected artifact |
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| attributes.comparison.aggregation Single CRE Context-only references | Evaluating the representational power of pre-trained DNA language models for regulatory genomics Original source ↗ Table 1 row 'LentiMPRA-embedding' / 'CNN-SEI', column 'K562' Version: Genome Biology 26:203, published 2025-07-14; PMC12261763 full-text XML Retrieved: 2026-10-09T21:04:28Z | not individually reviewed No individual claim review recorded author reported Audit detailsField: attributes.comparison.aggregation Source artifact SHA-256: f6925cc2d93d0694ccc689970207c2df9b7b0d2562d276ede99f0c78d413b08b Hash scope: Hash scope not separately documented; inspect source record Inspected artifact |
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| attributes.comparison.budget Not reported Context-only references | Evaluating the representational power of pre-trained DNA language models for regulatory genomics Original source ↗ Table 1 row 'LentiMPRA-embedding' / 'CNN-SEI', column 'K562' Version: Genome Biology 26:203, published 2025-07-14; PMC12261763 full-text XML Retrieved: 2026-10-09T21:04:28Z | missing or unspecified No individual claim review recorded author reported Audit detailsField: attributes.comparison.budget Source artifact SHA-256: f6925cc2d93d0694ccc689970207c2df9b7b0d2562d276ede99f0c78d413b08b Hash scope: Hash scope not separately documented; inspect source record Inspected artifact |
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| attributes.comparison.dataset_version CAGI5 regulation challenge data Context-only references | Evaluating the representational power of pre-trained DNA language models for regulatory genomics Original source ↗ Table 1 row 'LentiMPRA-embedding' / 'CNN-SEI', column 'K562' Version: Genome Biology 26:203, published 2025-07-14; PMC12261763 full-text XML Retrieved: 2026-10-09T21:04:28Z | not individually reviewed No individual claim review recorded author reported Audit detailsField: attributes.comparison.dataset_version Source artifact SHA-256: f6925cc2d93d0694ccc689970207c2df9b7b0d2562d276ede99f0c78d413b08b Hash scope: Hash scope not separately documented; inspect source record Inspected artifact |
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| attributes.comparison.inputs 230 nt sequence centred on the CRE Context-only references | Evaluating the representational power of pre-trained DNA language models for regulatory genomics Original source ↗ Table 1 row 'LentiMPRA-embedding' / 'CNN-SEI', column 'K562' Version: Genome Biology 26:203, published 2025-07-14; PMC12261763 full-text XML Retrieved: 2026-10-09T21:04:28Z | not individually reviewed No individual claim review recorded author reported Audit detailsField: attributes.comparison.inputs Source artifact SHA-256: f6925cc2d93d0694ccc689970207c2df9b7b0d2562d276ede99f0c78d413b08b Hash scope: Hash scope not separately documented; inspect source record Inspected artifact |
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| attributes.comparison.metric_implementation Pearson correlation per experiment Context-only references | Evaluating the representational power of pre-trained DNA language models for regulatory genomics Original source ↗ Table 1 row 'LentiMPRA-embedding' / 'CNN-SEI', column 'K562' Version: Genome Biology 26:203, published 2025-07-14; PMC12261763 full-text XML Retrieved: 2026-10-09T21:04:28Z | not individually reviewed No individual claim review recorded author reported Audit detailsField: attributes.comparison.metric_implementation Source artifact SHA-256: f6925cc2d93d0694ccc689970207c2df9b7b0d2562d276ede99f0c78d413b08b Hash scope: Hash scope not separately documented; inspect source record Inspected artifact |
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| attributes.comparison.population PKLR (K562) Context-only references | Evaluating the representational power of pre-trained DNA language models for regulatory genomics Original source ↗ Table 1 row 'LentiMPRA-embedding' / 'CNN-SEI', column 'K562' Version: Genome Biology 26:203, published 2025-07-14; PMC12261763 full-text XML Retrieved: 2026-10-09T21:04:28Z | not individually reviewed No individual claim review recorded author reported Audit detailsField: attributes.comparison.population Source artifact SHA-256: f6925cc2d93d0694ccc689970207c2df9b7b0d2562d276ede99f0c78d413b08b Hash scope: Hash scope not separately documented; inspect source record Inspected artifact |
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| attributes.comparison.protocol_id regulatory-variant-20261009-protocol-tang2025-cagi5-k562 Context-only references | Evaluating the representational power of pre-trained DNA language models for regulatory genomics Original source ↗ Table 1 row 'LentiMPRA-embedding' / 'CNN-SEI', column 'K562' Version: Genome Biology 26:203, published 2025-07-14; PMC12261763 full-text XML Retrieved: 2026-10-09T21:04:28Z | not individually reviewed No individual claim review recorded author reported Audit detailsField: attributes.comparison.protocol_id Source artifact SHA-256: f6925cc2d93d0694ccc689970207c2df9b7b0d2562d276ede99f0c78d413b08b Hash scope: Hash scope not separately documented; inspect source record Inspected artifact |
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| attributes.comparison.split Zero-shot test Context-only references | Evaluating the representational power of pre-trained DNA language models for regulatory genomics Original source ↗ Table 1 row 'LentiMPRA-embedding' / 'CNN-SEI', column 'K562' Version: Genome Biology 26:203, published 2025-07-14; PMC12261763 full-text XML Retrieved: 2026-10-09T21:04:28Z | not individually reviewed No individual claim review recorded author reported Audit detailsField: attributes.comparison.split Source artifact SHA-256: f6925cc2d93d0694ccc689970207c2df9b7b0d2562d276ede99f0c78d413b08b Hash scope: Hash scope not separately documented; inspect source record Inspected artifact |
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| attributes.origin author_reported Context-only references | Evaluating the representational power of pre-trained DNA language models for regulatory genomics Original source ↗ Table 1 row 'LentiMPRA-embedding' / 'CNN-SEI', column 'K562' Version: Genome Biology 26:203, published 2025-07-14; PMC12261763 full-text XML Retrieved: 2026-10-09T21:04:28Z | not individually reviewed No individual claim review recorded author reported Audit detailsField: attributes.origin Source artifact SHA-256: f6925cc2d93d0694ccc689970207c2df9b7b0d2562d276ede99f0c78d413b08b Hash scope: Hash scope not separately documented; inspect source record Inspected artifact |
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