Evidence claim

CASF-2016 ranking (Protein–ligand binding affinity scoring): links:evaluates_task:reported-task-a78312d5df6dad

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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.

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6 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-09-17-d277315f7d76
Property and statement	Original source and location	Review and provenance
attributes.field links:evaluates_task:reported-task-a78312d5df6dad Context-only references	AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks Original source ↗ A comparison of prediction accuracy with the CASF-2016 dataset.; Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 11 AK-score-ensemble, column 4: CASF-2016 ranking Spearman correlation Version: version of record Retrieved: 2026-09-16T10:44:03.436853+00:00	not individually reviewed No individual claim review recorded Audit details Field: `attributes.field` Source artifact SHA-256: `40cfd28dcd587599768ec99a6590ec593486475ff01c7b1d1f229b44aa91bf8d` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.source_locator A comparison of prediction accuracy with the CASF-2016 dataset.; Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 11 AK-score-ensemble, column 4: CASF-2016 ranking Spearman correlation Context-only references	AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks Original source ↗ A comparison of prediction accuracy with the CASF-2016 dataset.; Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 11 AK-score-ensemble, column 4: CASF-2016 ranking Spearman correlation Version: version of record Retrieved: 2026-09-16T10:44:03.436853+00:00	not individually reviewed No individual claim review recorded Audit details Field: `attributes.source_locator` Source artifact SHA-256: `40cfd28dcd587599768ec99a6590ec593486475ff01c7b1d1f229b44aa91bf8d` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.value reported-task-a78312d5df6dad Context-only references	AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks Original source ↗ A comparison of prediction accuracy with the CASF-2016 dataset.; Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 11 AK-score-ensemble, column 4: CASF-2016 ranking Spearman correlation Version: version of record Retrieved: 2026-09-16T10:44:03.436853+00:00	not individually reviewed No individual claim review recorded Audit details Field: `attributes.value` Source artifact SHA-256: `40cfd28dcd587599768ec99a6590ec593486475ff01c7b1d1f229b44aa91bf8d` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
description Source-backed metadata or reviewed relationship. Context-only references	AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks Original source ↗ A comparison of prediction accuracy with the CASF-2016 dataset.; Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 11 AK-score-ensemble, column 4: CASF-2016 ranking Spearman correlation Version: version of record Retrieved: 2026-09-16T10:44:03.436853+00:00	not individually reviewed No individual claim review recorded Audit details Field: `description` Source artifact SHA-256: `40cfd28dcd587599768ec99a6590ec593486475ff01c7b1d1f229b44aa91bf8d` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Relationship: subject paper-protocol-0c5a1c5ef6896a2d96 Context-only references	AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks Original source ↗ A comparison of prediction accuracy with the CASF-2016 dataset.; Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 11 AK-score-ensemble, column 4: CASF-2016 ranking Spearman correlation Version: version of record Retrieved: 2026-09-16T10:44:03.436853+00:00	not individually reviewed No individual claim review recorded Audit details Field: `links:subject:paper-protocol-0c5a1c5ef6896a2d96` Source artifact SHA-256: `40cfd28dcd587599768ec99a6590ec593486475ff01c7b1d1f229b44aa91bf8d` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
name CASF-2016 ranking (Protein–ligand binding affinity scoring): links:evaluates_task:reported-task-a78312d5df6dad Context-only references	AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks Original source ↗ A comparison of prediction accuracy with the CASF-2016 dataset.; Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 11 AK-score-ensemble, column 4: CASF-2016 ranking Spearman correlation Version: version of record Retrieved: 2026-09-16T10:44:03.436853+00:00	not individually reviewed No individual claim review recorded Audit details Field: `name` Source artifact SHA-256: `40cfd28dcd587599768ec99a6590ec593486475ff01c7b1d1f229b44aa91bf8d` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact

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Release 2026-09-17-d277315f7d76 · Record review: source checked

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AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks · Original source · version of record

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Stable ID: paper-claim-44afb78999a73a20ae

field: links:evaluates_task:reported-task-a78312d5df6dad
value: reported-task-a78312d5df6dad
source locator: A comparison of prediction accuracy with the CASF-2016 dataset.; Table 2 (ijms-21-08424-t002), row 3 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 4 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 5 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 6 K DEEP, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 7 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 8 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 9 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 10 AK-score-single, column 4: CASF-2016 ranking Spearman correlation; Table 2 (ijms-21-08424-t002), row 11 AK-score-ensemble, column 4: CASF-2016 ranking Spearman correlation
review: method: automated_source_review; date: 2026-09-17

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subject: CASF-2016 ranking (Protein–ligand binding affinity scoring)

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