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Evaluation

DELFI 2019 internally cross-validated cancer detection

DELFI 2019 internally cross-validated cancer detection; bounded primary-source candidate.

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Release 2026-10-07-1448159e6a81 · Evidence verified: Not verified

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Evaluation results

1 evaluation · 1 result. Different protocols are not a single leaderboard.

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Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: DELFI 2019 internally cross-validated cancer detection tested configurationProtocol: DELFI 2019 internally cross-validated cancer detection protocol
Dataset: DELFI 2019 internally cross-validated cancer detection cohort
73% sensitivity_at_reported_98_percent_specificity
percent · higher

Uncertainty: 95% CI 67%–79%; sensitivity intervals from 2,000 bootstrap replicates

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

DELFI 2019 internally cross-validated cancer detection

amp-20261007-ctdna-fragmentomics-protocol

Aggregation: Not reported

Cristiano et al., Nature 570, 385–389 (2019), author manuscript PMC6774252 · PMC6774252 Table 1 T1 Cancer row / 98% specificity columns; Results P15; Methods P34; Extended Data Fig. 7 F11.

Source checking is not independent reproduction. Release 2026-10-07-1448159e6a81.

Evaluation procedure

amp-20261007-ctdna-fragmentomics-protocol

Configuration
DELFI 2019 internally cross-validated cancer detection tested configuration
Protocol
DELFI 2019 internally cross-validated cancer detection protocol
Dataset
DELFI 2019 internally cross-validated cancer detection cohort
origin
Author-reported evaluation
configuration
Not reported
adaptation
Supervised cohort-specific gradient boosting; not a foundation model
aggregation
Not reported
budget
Not reported
dataset version
Not reported
inputs
Plasma cfDNA whole-genome fragmentation and copy-number features; composite cfDNA includes background and tumour-derived signal
metric implementation
sensitivity_at_reported_98_percent_specificity
population
208 patients with seven cancer types and 215 healthy individuals used for classifier; broader study abstract 236 cancers/245 healthy is not classifier denominator.
protocol id
amp-20261007-ctdna-fragmentomics-protocol
split
10-fold cross-validation repeated 10 times; feature selection and model estimation on training folds only

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

Reproduction

Split
10-fold cross-validation repeated 10 times; feature selection and model estimation on training folds only
Adaptation
Supervised cohort-specific gradient boosting; not a foundation model
Scoring implementation
sensitivity_at_reported_98_percent_specificity

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

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20 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-07-1448159e6a81
Property and statementOriginal source and locationReview and provenance
attributes.comparison.adaptation
Supervised cohort-specific gradient boosting; not a foundation model
Context-only references
Cristiano et al., Nature 570, 385–389 (2019), author manuscript PMC6774252

Original source ↗

PMC6774252 Table 1 T1 Cancer row / 98% specificity columns; Results P15; Methods P34; Extended Data Fig. 7 F11.

Version: Cristiano et al., Nature 570, 385–389 (2019), author manuscript PMC6774252
Retrieved: 2026-10-07T12:24:27.091080+00:00

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.adaptation

Source artifact SHA-256: 192730a334f4752575543fb6bd9d13faa84eb27e939d918363cfe633c0358322

Hash scope: Hash scope not separately documented; inspect source record

Format: curator_factual_receipt

attributes.comparison.aggregation
Not reported
Context-only references
Cristiano et al., Nature 570, 385–389 (2019), author manuscript PMC6774252

Original source ↗

PMC6774252 Table 1 T1 Cancer row / 98% specificity columns; Results P15; Methods P34; Extended Data Fig. 7 F11.

Version: Cristiano et al., Nature 570, 385–389 (2019), author manuscript PMC6774252
Retrieved: 2026-10-07T12:24:27.091080+00:00

missing or unspecified

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.aggregation

Source artifact SHA-256: 192730a334f4752575543fb6bd9d13faa84eb27e939d918363cfe633c0358322

Hash scope: Hash scope not separately documented; inspect source record

Format: curator_factual_receipt

attributes.comparison.budget
Not reported
Context-only references
Cristiano et al., Nature 570, 385–389 (2019), author manuscript PMC6774252

Original source ↗

PMC6774252 Table 1 T1 Cancer row / 98% specificity columns; Results P15; Methods P34; Extended Data Fig. 7 F11.

Version: Cristiano et al., Nature 570, 385–389 (2019), author manuscript PMC6774252
Retrieved: 2026-10-07T12:24:27.091080+00:00

missing or unspecified

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.budget

Source artifact SHA-256: 192730a334f4752575543fb6bd9d13faa84eb27e939d918363cfe633c0358322

Hash scope: Hash scope not separately documented; inspect source record

Format: curator_factual_receipt

attributes.comparison.dataset_version
Not reported
Context-only references
Cristiano et al., Nature 570, 385–389 (2019), author manuscript PMC6774252

Original source ↗

PMC6774252 Table 1 T1 Cancer row / 98% specificity columns; Results P15; Methods P34; Extended Data Fig. 7 F11.

Version: Cristiano et al., Nature 570, 385–389 (2019), author manuscript PMC6774252
Retrieved: 2026-10-07T12:24:27.091080+00:00

missing or unspecified

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.dataset_version

Source artifact SHA-256: 192730a334f4752575543fb6bd9d13faa84eb27e939d918363cfe633c0358322

Hash scope: Hash scope not separately documented; inspect source record

Format: curator_factual_receipt

attributes.comparison.inputs
Plasma cfDNA whole-genome fragmentation and copy-number features; composite cfDNA includes background and tumour-derived signal
Context-only references
Cristiano et al., Nature 570, 385–389 (2019), author manuscript PMC6774252

Original source ↗

PMC6774252 Table 1 T1 Cancer row / 98% specificity columns; Results P15; Methods P34; Extended Data Fig. 7 F11.

Version: Cristiano et al., Nature 570, 385–389 (2019), author manuscript PMC6774252
Retrieved: 2026-10-07T12:24:27.091080+00:00

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.inputs

Source artifact SHA-256: 192730a334f4752575543fb6bd9d13faa84eb27e939d918363cfe633c0358322

Hash scope: Hash scope not separately documented; inspect source record

Format: curator_factual_receipt

attributes.comparison.metric_implementation
sensitivity_at_reported_98_percent_specificity
Context-only references
Cristiano et al., Nature 570, 385–389 (2019), author manuscript PMC6774252

Original source ↗

PMC6774252 Table 1 T1 Cancer row / 98% specificity columns; Results P15; Methods P34; Extended Data Fig. 7 F11.

Version: Cristiano et al., Nature 570, 385–389 (2019), author manuscript PMC6774252
Retrieved: 2026-10-07T12:24:27.091080+00:00

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.metric_implementation

Source artifact SHA-256: 192730a334f4752575543fb6bd9d13faa84eb27e939d918363cfe633c0358322

Hash scope: Hash scope not separately documented; inspect source record

Format: curator_factual_receipt

attributes.comparison.population
208 patients with seven cancer types and 215 healthy individuals used for classifier; broader study abstract 236 cancers/245 healthy is not classifier denominator.
Context-only references
Cristiano et al., Nature 570, 385–389 (2019), author manuscript PMC6774252

Original source ↗

PMC6774252 Table 1 T1 Cancer row / 98% specificity columns; Results P15; Methods P34; Extended Data Fig. 7 F11.

Version: Cristiano et al., Nature 570, 385–389 (2019), author manuscript PMC6774252
Retrieved: 2026-10-07T12:24:27.091080+00:00

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.population

Source artifact SHA-256: 192730a334f4752575543fb6bd9d13faa84eb27e939d918363cfe633c0358322

Hash scope: Hash scope not separately documented; inspect source record

Format: curator_factual_receipt

attributes.comparison.protocol_id
amp-20261007-ctdna-fragmentomics-protocol
Context-only references
Cristiano et al., Nature 570, 385–389 (2019), author manuscript PMC6774252

Original source ↗

PMC6774252 Table 1 T1 Cancer row / 98% specificity columns; Results P15; Methods P34; Extended Data Fig. 7 F11.

Version: Cristiano et al., Nature 570, 385–389 (2019), author manuscript PMC6774252
Retrieved: 2026-10-07T12:24:27.091080+00:00

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.protocol_id

Source artifact SHA-256: 192730a334f4752575543fb6bd9d13faa84eb27e939d918363cfe633c0358322

Hash scope: Hash scope not separately documented; inspect source record

Format: curator_factual_receipt

attributes.comparison.split
10-fold cross-validation repeated 10 times; feature selection and model estimation on training folds only
Context-only references
Cristiano et al., Nature 570, 385–389 (2019), author manuscript PMC6774252

Original source ↗

PMC6774252 Table 1 T1 Cancer row / 98% specificity columns; Results P15; Methods P34; Extended Data Fig. 7 F11.

Version: Cristiano et al., Nature 570, 385–389 (2019), author manuscript PMC6774252
Retrieved: 2026-10-07T12:24:27.091080+00:00

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.split

Source artifact SHA-256: 192730a334f4752575543fb6bd9d13faa84eb27e939d918363cfe633c0358322

Hash scope: Hash scope not separately documented; inspect source record

Format: curator_factual_receipt

attributes.conventional_baseline
Same Fig. 4/Results P15 feature comparisons: chromosomal-arm copy number ML AUC 0.88, individual copy-number scores AUC 0.78, mitochondrial copy number AUC 0.72; separate ROC endpoints, not sensitivity-matched comparisons.
Context-only references
Cristiano et al., Nature 570, 385–389 (2019), author manuscript PMC6774252

Original source ↗

PMC6774252 Table 1 T1 Cancer row / 98% specificity columns; Results P15; Methods P34; Extended Data Fig. 7 F11.

Version: Cristiano et al., Nature 570, 385–389 (2019), author manuscript PMC6774252
Retrieved: 2026-10-07T12:24:27.091080+00:00

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.conventional_baseline

Source artifact SHA-256: 192730a334f4752575543fb6bd9d13faa84eb27e939d918363cfe633c0358322

Hash scope: Hash scope not separately documented; inspect source record

Format: curator_factual_receipt

Sources and history

View linked audit checks and correction history

Release 2026-10-07-1448159e6a81 · Record review: source checked

1 source records and release historyDownload this release
Technical metadata and extraction receipts

Stable ID: amp-20261007-ctdna-fragmentomics-evaluation

areas
dna-genomes
method types
supervised_machine_learning
tasks
cancer_detection
comparison
adaptation: Supervised cohort-specific gradient boosting; not a foundation model; aggregation: Not reported; budget: Not reported; dataset version: Not reported; inputs: Plasma cfDNA whole-genome fragmentation and copy-number features; composite cfDNA includes background and tumour-derived signal; metric implementation: sensitivity_at_reported_98_percent_specificity; population: 208 patients with seven cancer types and 215 healthy individuals used for classifier; broader study abstract 236 cancers/245 healthy is not classifier denominator.; protocol id: amp-20261007-ctdna-fragmentomics-protocol; split: 10-fold cross-validation repeated 10 times; feature selection and model estimation on training folds only
conventional baseline
Same Fig. 4/Results P15 feature comparisons: chromosomal-arm copy number ML AUC 0.88, individual copy-number scores AUC 0.78, mitochondrial copy number AUC 0.72; separate ROC endpoints, not sensitivity-matched comparisons.
limitations
4 of 215 healthy individuals misclassified at source-labelled 98% specificity. Retain rounded printed specificity; do not recompute sensitivity.; Internal repeated cross-validation is not independent prospective screening validation; clinically identified cancers and healthy comparators differ from intended screening population.; DELFI composite features include CNAs/mtDNA, so this exact result is not pure fragmentation alone.; cfDNA signal is not purified ctDNA, tumour fraction limit is unreported for this endpoint.; Combined mutation+DELFI 115/126 (91%) is a different subset/configuration and is excluded.
missing metadata
aggregation: Endpoint-specific weighting in source where noted; budget: Not extracted; no execution
origin
author_reported
protocol
amp-20261007-ctdna-fragmentomics-protocol
source locator
PMC6774252 Table 1 T1 Cancer row / 98% specificity columns; Results P15; Methods P34; Extended Data Fig. 7 F11.
version
Not reported
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