Evaluation

SPOT-MAS tissue of origin, GCNN (validation)

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Evaluation results

1 evaluation · 22 results. Different protocols are not a single leaderboard.

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Tested model or methodProtocolDatasetEvaluation setupMetricEvidence origin

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Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: SPOT-MAS tissue-of-origin Graph convolutional neural network (GCNN)	Protocol: SPOT-MAS five-class tissue of origin, independent validation cohort Dataset: SPOT-MAS validation cohort, 239 non-metastatic cancer patients (five cancer types)	0.69 accuracy fraction · higher Uncertainty: Not reported by the source Coverage: 239 cancer patients scored (n printed in cell B19)	Author-reported evaluation · Source checked Methods, coverage and source SPOT-MAS tissue of origin, GCNN (validation) ctdnameth-20261009-protocol-nguyen2023-spotmas-too-validation Aggregation: Not reported Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization; Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) · Supplementary file 1, sheet 'Table S9', E19; Validation block; row 'All cancer'; column 'GCNN' under 'All stage' (n in B19)
Configuration: SPOT-MAS tissue-of-origin Graph convolutional neural network (GCNN)	Protocol: SPOT-MAS five-class tissue of origin, independent validation cohort Dataset: SPOT-MAS validation cohort, 239 non-metastatic cancer patients (five cancer types)	0.78 recall fraction · higher Uncertainty: Not reported by the source Coverage: 67 cancer patients scored (n printed in cell B14)	Author-reported evaluation · Source checked Methods, coverage and source SPOT-MAS tissue of origin, GCNN (validation) ctdnameth-20261009-protocol-nguyen2023-spotmas-too-validation Aggregation: Not reported Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization; Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) · Supplementary file 1, sheet 'Table S9', E14; Validation block; row 'Breast'; column 'GCNN' under 'All stage' (n in B14)
Configuration: SPOT-MAS tissue-of-origin Graph convolutional neural network (GCNN)	Protocol: SPOT-MAS five-class tissue of origin, independent validation cohort Dataset: SPOT-MAS validation cohort, 239 non-metastatic cancer patients (five cancer types)	0.66 recall fraction · higher Uncertainty: Not reported by the source Coverage: 53 cancer patients scored (n printed in cell B15)	Author-reported evaluation · Source checked Methods, coverage and source SPOT-MAS tissue of origin, GCNN (validation) ctdnameth-20261009-protocol-nguyen2023-spotmas-too-validation Aggregation: Not reported Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization; Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) · Supplementary file 1, sheet 'Table S9', E15; Validation block; row 'CRC'; column 'GCNN' under 'All stage' (n in B15)
Configuration: SPOT-MAS tissue-of-origin Graph convolutional neural network (GCNN)	Protocol: SPOT-MAS five-class tissue of origin, independent validation cohort Dataset: SPOT-MAS validation cohort, 239 non-metastatic cancer patients (five cancer types)	0.6 recall fraction · higher Uncertainty: Not reported by the source Coverage: 5 cancer patients scored (n printed in cell F15)	Author-reported evaluation · Source checked Methods, coverage and source SPOT-MAS tissue of origin, GCNN (validation) ctdnameth-20261009-protocol-nguyen2023-spotmas-too-validation Aggregation: Not reported Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization; Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) · Supplementary file 1, sheet 'Table S9', I15; Validation block; row 'CRC'; column 'GCNN' under 'Stage I' (n in F15)
Configuration: SPOT-MAS tissue-of-origin Graph convolutional neural network (GCNN)	Protocol: SPOT-MAS five-class tissue of origin, independent validation cohort Dataset: SPOT-MAS validation cohort, 239 non-metastatic cancer patients (five cancer types)	0.56 recall fraction · higher Uncertainty: Not reported by the source Coverage: 20 cancer patients scored (n printed in cell J15)	Author-reported evaluation · Source checked Methods, coverage and source SPOT-MAS tissue of origin, GCNN (validation) ctdnameth-20261009-protocol-nguyen2023-spotmas-too-validation Aggregation: Not reported Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization; Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) · Supplementary file 1, sheet 'Table S9', M15; Validation block; row 'CRC'; column 'GCNN' under 'Stage II' (n in J15)
Configuration: SPOT-MAS tissue-of-origin Graph convolutional neural network (GCNN)	Protocol: SPOT-MAS five-class tissue of origin, independent validation cohort Dataset: SPOT-MAS validation cohort, 239 non-metastatic cancer patients (five cancer types)	0.75 recall fraction · higher Uncertainty: Not reported by the source Coverage: 20 cancer patients scored (n printed in cell N15)	Author-reported evaluation · Source checked Methods, coverage and source SPOT-MAS tissue of origin, GCNN (validation) ctdnameth-20261009-protocol-nguyen2023-spotmas-too-validation Aggregation: Not reported Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization; Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) · Supplementary file 1, sheet 'Table S9', Q15; Validation block; row 'CRC'; column 'GCNN' under 'Stage III' (n in N15)
Configuration: SPOT-MAS tissue-of-origin Graph convolutional neural network (GCNN)	Protocol: SPOT-MAS five-class tissue of origin, independent validation cohort Dataset: SPOT-MAS validation cohort, 239 non-metastatic cancer patients (five cancer types)	0.67 recall fraction · higher Uncertainty: Not reported by the source Coverage: 8 cancer patients scored (n printed in cell R15)	Author-reported evaluation · Source checked Methods, coverage and source SPOT-MAS tissue of origin, GCNN (validation) ctdnameth-20261009-protocol-nguyen2023-spotmas-too-validation Aggregation: Not reported Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization; Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) · Supplementary file 1, sheet 'Table S9', U15; Validation block; row 'CRC'; column 'GCNN' under 'Non-metastasis with unknown stage' (n in R15)
Configuration: SPOT-MAS tissue-of-origin Graph convolutional neural network (GCNN)	Protocol: SPOT-MAS five-class tissue of origin, independent validation cohort Dataset: SPOT-MAS validation cohort, 239 non-metastatic cancer patients (five cancer types)	0.55 recall fraction · higher Uncertainty: Not reported by the source Coverage: 31 cancer patients scored (n printed in cell B16)	Author-reported evaluation · Source checked Methods, coverage and source SPOT-MAS tissue of origin, GCNN (validation) ctdnameth-20261009-protocol-nguyen2023-spotmas-too-validation Aggregation: Not reported Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization; Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) · Supplementary file 1, sheet 'Table S9', E16; Validation block; row 'Gastric'; column 'GCNN' under 'All stage' (n in B16)
Configuration: SPOT-MAS tissue-of-origin Graph convolutional neural network (GCNN)	Protocol: SPOT-MAS five-class tissue of origin, independent validation cohort Dataset: SPOT-MAS validation cohort, 239 non-metastatic cancer patients (five cancer types)	1 recall fraction · higher Uncertainty: Not reported by the source Coverage: 2 cancer patients scored (n printed in cell F16)	Author-reported evaluation · Source checked Methods, coverage and source SPOT-MAS tissue of origin, GCNN (validation) ctdnameth-20261009-protocol-nguyen2023-spotmas-too-validation Aggregation: Not reported Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization; Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) · Supplementary file 1, sheet 'Table S9', I16; Validation block; row 'Gastric'; column 'GCNN' under 'Stage I' (n in F16)
Configuration: SPOT-MAS tissue-of-origin Graph convolutional neural network (GCNN)	Protocol: SPOT-MAS five-class tissue of origin, independent validation cohort Dataset: SPOT-MAS validation cohort, 239 non-metastatic cancer patients (five cancer types)	0.8 recall fraction · higher Uncertainty: Not reported by the source Coverage: 5 cancer patients scored (n printed in cell J16)	Author-reported evaluation · Source checked Methods, coverage and source SPOT-MAS tissue of origin, GCNN (validation) ctdnameth-20261009-protocol-nguyen2023-spotmas-too-validation Aggregation: Not reported Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization; Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) · Supplementary file 1, sheet 'Table S9', M16; Validation block; row 'Gastric'; column 'GCNN' under 'Stage II' (n in J16)
Configuration: SPOT-MAS tissue-of-origin Graph convolutional neural network (GCNN)	Protocol: SPOT-MAS five-class tissue of origin, independent validation cohort Dataset: SPOT-MAS validation cohort, 239 non-metastatic cancer patients (five cancer types)	0.7 recall fraction · higher Uncertainty: Not reported by the source Coverage: 10 cancer patients scored (n printed in cell N16)	Author-reported evaluation · Source checked Methods, coverage and source SPOT-MAS tissue of origin, GCNN (validation) ctdnameth-20261009-protocol-nguyen2023-spotmas-too-validation Aggregation: Not reported Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization; Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) · Supplementary file 1, sheet 'Table S9', Q16; Validation block; row 'Gastric'; column 'GCNN' under 'Stage III' (n in N16)
Configuration: SPOT-MAS tissue-of-origin Graph convolutional neural network (GCNN)	Protocol: SPOT-MAS five-class tissue of origin, independent validation cohort Dataset: SPOT-MAS validation cohort, 239 non-metastatic cancer patients (five cancer types)	0.29 recall fraction · higher Uncertainty: Not reported by the source Coverage: 14 cancer patients scored (n printed in cell R16)	Author-reported evaluation · Source checked Methods, coverage and source SPOT-MAS tissue of origin, GCNN (validation) ctdnameth-20261009-protocol-nguyen2023-spotmas-too-validation Aggregation: Not reported Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization; Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) · Supplementary file 1, sheet 'Table S9', U16; Validation block; row 'Gastric'; column 'GCNN' under 'Non-metastasis with unknown stage' (n in R16)
Configuration: SPOT-MAS tissue-of-origin Graph convolutional neural network (GCNN)	Protocol: SPOT-MAS five-class tissue of origin, independent validation cohort Dataset: SPOT-MAS validation cohort, 239 non-metastatic cancer patients (five cancer types)	0.76 recall fraction · higher Uncertainty: Not reported by the source Coverage: 45 cancer patients scored (n printed in cell B17)	Author-reported evaluation · Source checked Methods, coverage and source SPOT-MAS tissue of origin, GCNN (validation) ctdnameth-20261009-protocol-nguyen2023-spotmas-too-validation Aggregation: Not reported Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization; Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) · Supplementary file 1, sheet 'Table S9', E17; Validation block; row 'Liver'; column 'GCNN' under 'All stage' (n in B17)
Configuration: SPOT-MAS tissue-of-origin Graph convolutional neural network (GCNN)	Protocol: SPOT-MAS five-class tissue of origin, independent validation cohort Dataset: SPOT-MAS validation cohort, 239 non-metastatic cancer patients (five cancer types)	1 recall fraction · higher Uncertainty: Not reported by the source Coverage: 2 cancer patients scored (n printed in cell F17)	Author-reported evaluation · Source checked Methods, coverage and source SPOT-MAS tissue of origin, GCNN (validation) ctdnameth-20261009-protocol-nguyen2023-spotmas-too-validation Aggregation: Not reported Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization; Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) · Supplementary file 1, sheet 'Table S9', I17; Validation block; row 'Liver'; column 'GCNN' under 'Stage I' (n in F17)
Configuration: SPOT-MAS tissue-of-origin Graph convolutional neural network (GCNN)	Protocol: SPOT-MAS five-class tissue of origin, independent validation cohort Dataset: SPOT-MAS validation cohort, 239 non-metastatic cancer patients (five cancer types)	0.9 recall fraction · higher Uncertainty: Not reported by the source Coverage: 10 cancer patients scored (n printed in cell J17)	Author-reported evaluation · Source checked Methods, coverage and source SPOT-MAS tissue of origin, GCNN (validation) ctdnameth-20261009-protocol-nguyen2023-spotmas-too-validation Aggregation: Not reported Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization; Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) · Supplementary file 1, sheet 'Table S9', M17; Validation block; row 'Liver'; column 'GCNN' under 'Stage II' (n in J17)
Configuration: SPOT-MAS tissue-of-origin Graph convolutional neural network (GCNN)	Protocol: SPOT-MAS five-class tissue of origin, independent validation cohort Dataset: SPOT-MAS validation cohort, 239 non-metastatic cancer patients (five cancer types)	0.8 recall fraction · higher Uncertainty: Not reported by the source Coverage: 15 cancer patients scored (n printed in cell N17)	Author-reported evaluation · Source checked Methods, coverage and source SPOT-MAS tissue of origin, GCNN (validation) ctdnameth-20261009-protocol-nguyen2023-spotmas-too-validation Aggregation: Not reported Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization; Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) · Supplementary file 1, sheet 'Table S9', Q17; Validation block; row 'Liver'; column 'GCNN' under 'Stage III' (n in N17)
Configuration: SPOT-MAS tissue-of-origin Graph convolutional neural network (GCNN)	Protocol: SPOT-MAS five-class tissue of origin, independent validation cohort Dataset: SPOT-MAS validation cohort, 239 non-metastatic cancer patients (five cancer types)	0.61 recall fraction · higher Uncertainty: Not reported by the source Coverage: 18 cancer patients scored (n printed in cell R17)	Author-reported evaluation · Source checked Methods, coverage and source SPOT-MAS tissue of origin, GCNN (validation) ctdnameth-20261009-protocol-nguyen2023-spotmas-too-validation Aggregation: Not reported Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization; Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) · Supplementary file 1, sheet 'Table S9', U17; Validation block; row 'Liver'; column 'GCNN' under 'Non-metastasis with unknown stage' (n in R17)
Configuration: SPOT-MAS tissue-of-origin Graph convolutional neural network (GCNN)	Protocol: SPOT-MAS five-class tissue of origin, independent validation cohort Dataset: SPOT-MAS validation cohort, 239 non-metastatic cancer patients (five cancer types)	0.63 recall fraction · higher Uncertainty: Not reported by the source Coverage: 43 cancer patients scored (n printed in cell B18)	Author-reported evaluation · Source checked Methods, coverage and source SPOT-MAS tissue of origin, GCNN (validation) ctdnameth-20261009-protocol-nguyen2023-spotmas-too-validation Aggregation: Not reported Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization; Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) · Supplementary file 1, sheet 'Table S9', E18; Validation block; row 'Lung'; column 'GCNN' under 'All stage' (n in B18)
Configuration: SPOT-MAS tissue-of-origin Graph convolutional neural network (GCNN)	Protocol: SPOT-MAS five-class tissue of origin, independent validation cohort Dataset: SPOT-MAS validation cohort, 239 non-metastatic cancer patients (five cancer types)	N/A recall fraction · higher Uncertainty: Not reported by the source Coverage: 0 cancer patients scored (n printed in cell F18)	Author-reported evaluation · Source checked Methods, coverage and source SPOT-MAS tissue of origin, GCNN (validation) ctdnameth-20261009-protocol-nguyen2023-spotmas-too-validation Aggregation: Not reported Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization; Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) · Supplementary file 1, sheet 'Table S9', I18; Validation block; row 'Lung'; column 'GCNN' under 'Stage I' (n in F18)
Configuration: SPOT-MAS tissue-of-origin Graph convolutional neural network (GCNN)	Protocol: SPOT-MAS five-class tissue of origin, independent validation cohort Dataset: SPOT-MAS validation cohort, 239 non-metastatic cancer patients (five cancer types)	0.34 recall fraction · higher Uncertainty: Not reported by the source Coverage: 3 cancer patients scored (n printed in cell J18)	Author-reported evaluation · Source checked Methods, coverage and source SPOT-MAS tissue of origin, GCNN (validation) ctdnameth-20261009-protocol-nguyen2023-spotmas-too-validation Aggregation: Not reported Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization; Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) · Supplementary file 1, sheet 'Table S9', M18; Validation block; row 'Lung'; column 'GCNN' under 'Stage II' (n in J18)
Configuration: SPOT-MAS tissue-of-origin Graph convolutional neural network (GCNN)	Protocol: SPOT-MAS five-class tissue of origin, independent validation cohort Dataset: SPOT-MAS validation cohort, 239 non-metastatic cancer patients (five cancer types)	0.67 recall fraction · higher Uncertainty: Not reported by the source Coverage: 24 cancer patients scored (n printed in cell N18)	Author-reported evaluation · Source checked Methods, coverage and source SPOT-MAS tissue of origin, GCNN (validation) ctdnameth-20261009-protocol-nguyen2023-spotmas-too-validation Aggregation: Not reported Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization; Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) · Supplementary file 1, sheet 'Table S9', Q18; Validation block; row 'Lung'; column 'GCNN' under 'Stage III' (n in N18)
Configuration: SPOT-MAS tissue-of-origin Graph convolutional neural network (GCNN)	Protocol: SPOT-MAS five-class tissue of origin, independent validation cohort Dataset: SPOT-MAS validation cohort, 239 non-metastatic cancer patients (five cancer types)	0.62 recall fraction · higher Uncertainty: Not reported by the source Coverage: 16 cancer patients scored (n printed in cell R18)	Author-reported evaluation · Source checked Methods, coverage and source SPOT-MAS tissue of origin, GCNN (validation) ctdnameth-20261009-protocol-nguyen2023-spotmas-too-validation Aggregation: Not reported Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization; Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) · Supplementary file 1, sheet 'Table S9', U18; Validation block; row 'Lung'; column 'GCNN' under 'Non-metastasis with unknown stage' (n in R18)

Source checking is not independent reproduction. Release 2026-10-09-8cc1db47c7f9.

Evaluation procedure

ctdnameth-20261009-protocol-nguyen2023-spotmas-too-validation

Configuration: SPOT-MAS tissue-of-origin Graph convolutional neural network (GCNN)
Protocol: SPOT-MAS five-class tissue of origin, independent validation cohort
Dataset: SPOT-MAS validation cohort, 239 non-metastatic cancer patients (five cancer types)

origin: Author-reported evaluation
configuration: Primary source as retrieved 2026-10-09
protocol id: ctdnameth-20261009-protocol-nguyen2023-spotmas-too-validation
dataset version: eLife 12:RP89083
split: Independent validation cohort
population: 239 cancer patients, five types
inputs: Nine concatenated SPOT-MAS cfDNA feature sets
adaptation: Not reported
metric implementation: Correctly assigned patients / patients in the stratum
aggregation: Per cancer type and stage stratum
budget: Not reported

Metadata review: source checked. Unreported conditions prevent automatic comparisons.

Reproduction

Split: Independent validation cohort
Adaptation: Not reported
Scoring implementation: Correctly assigned patients / patients in the stratum

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.

Evidence

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Evidence table

Inspect claims, sources and review details

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.

36 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-09-8cc1db47c7f9
Property and statement	Original source and location	Review and provenance
attributes.comparison.adaptation Not reported Context-only references	Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization Original source ↗ Supplementary file 1 Table S9, GCNN columns, rows 14-19 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: eLife 12:RP89083, version of record published 2023-10-11; PMC10567114 full-text XML Retrieved: 2026-10-09T20:04:09Z	missing or unspecified No individual claim review recorded author reported Audit details Field: `attributes.comparison.adaptation` Source artifact SHA-256: `e09cfb58a6055e89ffa7b553a37539e1687f0fcb26970b7b25eb9eda8e09cfa8` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.adaptation Not reported Context-only references	Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) Original source ↗ Supplementary file 1 Table S9, GCNN columns, rows 14-19 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Supplementary file 1 (elife-89083-supp1.xlsx) of eLife 12:RP89083, PMC open-access copy PMC10567114.1 Retrieved: 2026-10-09T20:03:58Z	missing or unspecified No individual claim review recorded author reported Audit details Field: `attributes.comparison.adaptation` Source artifact SHA-256: `4797d7ea0fde127bfa54cf0bdf717d859092c0442ab996a0af10cc5ce17b7331` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.aggregation Per cancer type and stage stratum Context-only references	Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization Original source ↗ Supplementary file 1 Table S9, GCNN columns, rows 14-19 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: eLife 12:RP89083, version of record published 2023-10-11; PMC10567114 full-text XML Retrieved: 2026-10-09T20:04:09Z	not individually reviewed No individual claim review recorded author reported Audit details Field: `attributes.comparison.aggregation` Source artifact SHA-256: `e09cfb58a6055e89ffa7b553a37539e1687f0fcb26970b7b25eb9eda8e09cfa8` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.aggregation Per cancer type and stage stratum Context-only references	Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) Original source ↗ Supplementary file 1 Table S9, GCNN columns, rows 14-19 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Supplementary file 1 (elife-89083-supp1.xlsx) of eLife 12:RP89083, PMC open-access copy PMC10567114.1 Retrieved: 2026-10-09T20:03:58Z	not individually reviewed No individual claim review recorded author reported Audit details Field: `attributes.comparison.aggregation` Source artifact SHA-256: `4797d7ea0fde127bfa54cf0bdf717d859092c0442ab996a0af10cc5ce17b7331` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.budget Not reported Context-only references	Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization Original source ↗ Supplementary file 1 Table S9, GCNN columns, rows 14-19 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: eLife 12:RP89083, version of record published 2023-10-11; PMC10567114 full-text XML Retrieved: 2026-10-09T20:04:09Z	missing or unspecified No individual claim review recorded author reported Audit details Field: `attributes.comparison.budget` Source artifact SHA-256: `e09cfb58a6055e89ffa7b553a37539e1687f0fcb26970b7b25eb9eda8e09cfa8` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.budget Not reported Context-only references	Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) Original source ↗ Supplementary file 1 Table S9, GCNN columns, rows 14-19 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Supplementary file 1 (elife-89083-supp1.xlsx) of eLife 12:RP89083, PMC open-access copy PMC10567114.1 Retrieved: 2026-10-09T20:03:58Z	missing or unspecified No individual claim review recorded author reported Audit details Field: `attributes.comparison.budget` Source artifact SHA-256: `4797d7ea0fde127bfa54cf0bdf717d859092c0442ab996a0af10cc5ce17b7331` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.dataset_version eLife 12:RP89083 Context-only references	Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization Original source ↗ Supplementary file 1 Table S9, GCNN columns, rows 14-19 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: eLife 12:RP89083, version of record published 2023-10-11; PMC10567114 full-text XML Retrieved: 2026-10-09T20:04:09Z	not individually reviewed No individual claim review recorded author reported Audit details Field: `attributes.comparison.dataset_version` Source artifact SHA-256: `e09cfb58a6055e89ffa7b553a37539e1687f0fcb26970b7b25eb9eda8e09cfa8` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.dataset_version eLife 12:RP89083 Context-only references	Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) Original source ↗ Supplementary file 1 Table S9, GCNN columns, rows 14-19 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Supplementary file 1 (elife-89083-supp1.xlsx) of eLife 12:RP89083, PMC open-access copy PMC10567114.1 Retrieved: 2026-10-09T20:03:58Z	not individually reviewed No individual claim review recorded author reported Audit details Field: `attributes.comparison.dataset_version` Source artifact SHA-256: `4797d7ea0fde127bfa54cf0bdf717d859092c0442ab996a0af10cc5ce17b7331` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.inputs Nine concatenated SPOT-MAS cfDNA feature sets Context-only references	Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization Original source ↗ Supplementary file 1 Table S9, GCNN columns, rows 14-19 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: eLife 12:RP89083, version of record published 2023-10-11; PMC10567114 full-text XML Retrieved: 2026-10-09T20:04:09Z	not individually reviewed No individual claim review recorded author reported Audit details Field: `attributes.comparison.inputs` Source artifact SHA-256: `e09cfb58a6055e89ffa7b553a37539e1687f0fcb26970b7b25eb9eda8e09cfa8` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.inputs Nine concatenated SPOT-MAS cfDNA feature sets Context-only references	Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) Original source ↗ Supplementary file 1 Table S9, GCNN columns, rows 14-19 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Supplementary file 1 (elife-89083-supp1.xlsx) of eLife 12:RP89083, PMC open-access copy PMC10567114.1 Retrieved: 2026-10-09T20:03:58Z	not individually reviewed No individual claim review recorded author reported Audit details Field: `attributes.comparison.inputs` Source artifact SHA-256: `4797d7ea0fde127bfa54cf0bdf717d859092c0442ab996a0af10cc5ce17b7331` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact

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Release 2026-10-09-8cc1db47c7f9 · Record review: source checked

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Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization · Original source · eLife 12:RP89083, version of record published 2023-10-11; PMC10567114 full-text XML
Nguyen et al. 2023, Supplementary file 1 (Tables S1-S11) · Original source · Supplementary file 1 (elife-89083-supp1.xlsx) of eLife 12:RP89083, PMC open-access copy PMC10567114.1

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Technical metadata and extraction receipts

Stable ID: ctdnameth-20261009-eval-nguyen2023-spotmas-too-gcnn-validation

areas: dna-genomes
contexts: clinical_research
origin: author_reported
protocol: ctdnameth-20261009-protocol-nguyen2023-spotmas-too-validation
version: Primary source as retrieved 2026-10-09
comparison: protocol id: ctdnameth-20261009-protocol-nguyen2023-spotmas-too-validation; dataset version: eLife 12:RP89083; split: Independent validation cohort; population: 239 cancer patients, five types; inputs: Nine concatenated SPOT-MAS cfDNA feature sets; adaptation: Not reported; metric implementation: Correctly assigned patients / patients in the stratum; aggregation: Per cancer type and stage stratum; budget: Not reported
source locator: Supplementary file 1 Table S9, GCNN columns, rows 14-19

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