rewire.it
Task

Donor-aware age-class prediction

Age-class prediction probes frozen single-cell representations using donor-separated evaluation.

SourcesInflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing · Methods: Datasets; Models, baselines and null calibrations; Age probe; cached text lines 13–22

2 evaluations · 2 metric rows

At a glance

Inputs, training, access and other details

Explanatory profile: limited source coverage · Automated source review, 2026-09-16. Review applies to the cited claims; unresolved fields are listed below. Numerical results retain their own review status.

Data, procedure and scoring
PropertyDescription and evidence
DatasetsFive age-annotated human PBMC cohorts; AIDA cohorts are central and other cohorts provide stress tests.
SourcesInflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing · Methods: Datasets; Models, baselines and null calibrations; Age probe; cached text lines 13–22
SplitsAll cells from a donor belong wholly to training or testing; targets are age-quartile classes.
SourcesInflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing · Methods: Datasets; Models, baselines and null calibrations; Age probe; cached text lines 13–22
MetricsBalanced-accuracy comparisons against null expectations are described.
SourcesInflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing · Methods: Datasets; Models, baselines and null calibrations; Age probe; cached text lines 13–22
BaselinesFrozen scGPT and Geneformer probes, PCA-on-expression, within-stratum permutations and chance baselines.
SourcesInflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing · Methods: Datasets; Models, baselines and null calibrations; Age probe; cached text lines 13–22
Leakage controlsDonor grouping prevents direct memorization of donor identities across partitions.
SourcesInflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing · Methods: Datasets; Models, baselines and null calibrations; Age probe; cached text lines 13–22
UncertaintyPermutation nulls calibrate the probe; exact test confidence intervals remain unextracted.
SourcesInflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing · Methods: Datasets; Models, baselines and null calibrations; Age probe; cached text lines 13–22
Entity typePaper-specific computational evaluation protocol.
SourcesInflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing · Methods: Datasets; Models, baselines and null calibrations; Age probe; cached text lines 13–22
OrganismsHuman PBMC donors.
SourcesInflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing · Methods: Datasets; Models, baselines and null calibrations; Age probe; cached text lines 13–22
AssaysSingle-cell expression with donor age and cell-type metadata.
SourcesInflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing · Methods: Datasets; Models, baselines and null calibrations; Age probe; cached text lines 13–22
Allowed inputsFrozen scGPT/Geneformer embeddings or expression-derived PCA representations.
SourcesInflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing · Methods: Datasets; Models, baselines and null calibrations; Age probe; cached text lines 13–22
AdaptationSupervised probes; all cells of a donor stay within one arm.
SourcesInflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing · Methods: Datasets; Models, baselines and null calibrations; Age probe; cached text lines 13–22

How it works

How it worksComputational evaluation flow
Computational evaluation flow1. Input: Frozen scGPT/Geneformer embeddings or expression-derived PCA representations.. Then: 2. Evaluation: Supervised probes; all cells of a donor stay within one arm.. Then: 3. Readout: Balanced-accuracy comparisons against null expectations are described.Computational evaluation flow1. Input: Frozen scGPT/Geneformer embeddings or expression-derived PCA representations.. Then: 2. Evaluation: Supervised probes; all cells of a donor stay within one arm.. Then: 3. Readout: Balanced-accuracy comparisons against null expectations are described.Computational evaluation flow1. Input: Frozen scGPT/Geneformer embeddings or expression-derived PCA representations.. Then: 2. Evaluation: Supervised probes; all cells of a donor stay within one arm.. Then: 3. Readout: Balanced-accuracy comparisons against null expectations are described.

Conceptual summary of the cited evaluation; exact task configuration and source version remain part of the protocol.

SourcesInflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing · Methods: Datasets; Models, baselines and null calibrations; Age probe; cached text lines 13–22
Evaluation methodology

Five age-annotated human PBMC cohorts; AIDA cohorts are central and other cohorts provide stress tests. All cells from a donor belong wholly to training or testing; targets are age-quartile classes. Balanced-accuracy comparisons against null expectations are described. Frozen scGPT and Geneformer probes, PCA-on-expression, within-stratum permutations and chance baselines. Donor grouping prevents direct memorization of donor identities across partitions. Permutation nulls calibrate the probe; exact test confidence intervals remain unextracted.

SourcesInflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing · Methods: Datasets; Models, baselines and null calibrations; Age probe; cached text lines 13–22

Recorded evaluations

Each evaluation records what was tested and under which conditions.

Tested entities and results

Release 2026-09-17-d277315f7d76 · 2 evaluations · 2 metric rows. Different protocols are not a single leaderboard.

Results grouped by the exact reported evaluation
Metric and findingCoverage and uncertaintyEvidence
Best frozen single-cell foundation model: Donor-aware age-class prediction

Same donor-aware splits and logistic-regression probe as expression PCA; text names Geneformer as best model on AIDA v2.

Independent external evaluation · Evaluation metadata: needs review

0.322 Balanced accuracy

Unit: unitless · Direction: unknown

Uncertainty: ± 0.008 standard deviation

Scored: Not reported · Eligible: Not reported

source checkedInflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing · Table 2, AIDA v2 row, scFM BA ± SD column

Source checking is not independent reproduction.

Gene-expression PCA: Donor-aware age-class prediction

Fifty-component gene-expression PCA with the same donor-aware probe splits.

Independent external evaluation · Evaluation metadata: needs review

0.384 Balanced accuracy

Unit: unitless · Direction: unknown

Uncertainty: not reported in legacy extract

Scored: Not reported · Eligible: Not reported

source checkedInflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing · Table 2, AIDA v2 row, Gene-expr BA column

Source checking is not independent reproduction.

Papers and result coverage

Last literature check: 2026-09-17. Primary-source discovery and table/protocol screening; source checked is not independently reproduced. Raw acquisitions not automatically numerical publication approval.

Paper or primary resourceVersionReference
Inflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testingPMC archival version PMC13407579.1Read source
DOI: 10.1007/s10522-026-10471-8

What is still missing

  • Complete raw comparison acquired. Best-scFM is a selected pipeline, not a named family by inference. PCA, permutation mean/p 95 and chance 1/K remain separate reference types. Structured extraction pending.
Search and extraction details

source found structured extraction pending

Searches

  • Inflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing primary paper benchmark results

Evidence locations

  • Table2, five donor cohorts; donor-aware split and null controls

Strengths and limitations

Profile review details

Task-specific computational methodology and field context checked in the cited primary-source artifact. Source-backed fields, inapplicable evaluator dimensions and unresolved details are distinguished. Numerical results were not reproduced.

Stable record: reported-task-d6018ca598e525

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.

18 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-09-17-d277315f7d76
Property and statementOriginal source and locationReview and provenance
Diagram caption

Conceptual summary of the cited evaluation; exact task configuration and source version remain part of the protocol.

Individual claims
Inflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing

Original source ↗

Methods: Datasets; Models, baselines and null calibrations; Age probe; cached text lines 13–22

Version: PMC archival version PMC13407579.1
Retrieved: 2026-09-16T10:33:44.421Z

source checked

automated source review · 2026-09-16

Audit details

Task-specific computational methodology and field context checked in the cited primary-source artifact. Source-backed fields, inapplicable evaluator dimensions and unresolved details are distinguished. Numerical results were not reproduced.

Field: attributes.profile.diagram.caption

Source artifact SHA-256: d6cfb13933ceefed630954f804e7dc979b747bc4aec4c8c5518232f25772736a

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

Inspected artifact

Diagram steps

["Input: Frozen scGPT/Geneformer embeddings or expression-derived PCA representations.","Evaluation: Supervised probes; all cells of a donor stay within one arm.","Readout: Balanced-accuracy comparisons against null expectations are described."]

Individual claims
Inflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing

Original source ↗

Methods: Datasets; Models, baselines and null calibrations; Age probe; cached text lines 13–22

Version: PMC archival version PMC13407579.1
Retrieved: 2026-09-16T10:33:44.421Z

source checked

automated source review · 2026-09-16

Audit details

Task-specific computational methodology and field context checked in the cited primary-source artifact. Source-backed fields, inapplicable evaluator dimensions and unresolved details are distinguished. Numerical results were not reproduced.

Field: attributes.profile.diagram.steps

Source artifact SHA-256: d6cfb13933ceefed630954f804e7dc979b747bc4aec4c8c5518232f25772736a

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

Inspected artifact

Diagram title

Computational evaluation flow

Individual claims
Inflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing

Original source ↗

Methods: Datasets; Models, baselines and null calibrations; Age probe; cached text lines 13–22

Version: PMC archival version PMC13407579.1
Retrieved: 2026-09-16T10:33:44.421Z

source checked

automated source review · 2026-09-16

Audit details

Task-specific computational methodology and field context checked in the cited primary-source artifact. Source-backed fields, inapplicable evaluator dimensions and unresolved details are distinguished. Numerical results were not reproduced.

Field: attributes.profile.diagram.title

Source artifact SHA-256: d6cfb13933ceefed630954f804e7dc979b747bc4aec4c8c5518232f25772736a

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

Inspected artifact

Datasets

Five age-annotated human PBMC cohorts; AIDA cohorts are central and other cohorts provide stress tests.

Individual claims
Inflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing

Original source ↗

Methods: Datasets; Models, baselines and null calibrations; Age probe; cached text lines 13–22

Version: PMC archival version PMC13407579.1
Retrieved: 2026-09-16T10:33:44.421Z

source checked

automated source review · 2026-09-16

Audit details

Task-specific computational methodology and field context checked in the cited primary-source artifact. Source-backed fields, inapplicable evaluator dimensions and unresolved details are distinguished. Numerical results were not reproduced.

Field: attributes.profile.facts.0.value

Source artifact SHA-256: d6cfb13933ceefed630954f804e7dc979b747bc4aec4c8c5518232f25772736a

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

Inspected artifact

Splits

All cells from a donor belong wholly to training or testing; targets are age-quartile classes.

Individual claims
Inflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing

Original source ↗

Methods: Datasets; Models, baselines and null calibrations; Age probe; cached text lines 13–22

Version: PMC archival version PMC13407579.1
Retrieved: 2026-09-16T10:33:44.421Z

source checked

automated source review · 2026-09-16

Audit details

Task-specific computational methodology and field context checked in the cited primary-source artifact. Source-backed fields, inapplicable evaluator dimensions and unresolved details are distinguished. Numerical results were not reproduced.

Field: attributes.profile.facts.1.value

Source artifact SHA-256: d6cfb13933ceefed630954f804e7dc979b747bc4aec4c8c5518232f25772736a

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

Inspected artifact

Adaptation

Supervised probes; all cells of a donor stay within one arm.

Individual claims
Inflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing

Original source ↗

Methods: Datasets; Models, baselines and null calibrations; Age probe; cached text lines 13–22

Version: PMC archival version PMC13407579.1
Retrieved: 2026-09-16T10:33:44.421Z

source checked

automated source review · 2026-09-16

Audit details

Task-specific computational methodology and field context checked in the cited primary-source artifact. Source-backed fields, inapplicable evaluator dimensions and unresolved details are distinguished. Numerical results were not reproduced.

Field: attributes.profile.facts.10.value

Source artifact SHA-256: d6cfb13933ceefed630954f804e7dc979b747bc4aec4c8c5518232f25772736a

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

Inspected artifact

Metrics

Balanced-accuracy comparisons against null expectations are described.

Individual claims
Inflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing

Original source ↗

Methods: Datasets; Models, baselines and null calibrations; Age probe; cached text lines 13–22

Version: PMC archival version PMC13407579.1
Retrieved: 2026-09-16T10:33:44.421Z

source checked

automated source review · 2026-09-16

Audit details

Task-specific computational methodology and field context checked in the cited primary-source artifact. Source-backed fields, inapplicable evaluator dimensions and unresolved details are distinguished. Numerical results were not reproduced.

Field: attributes.profile.facts.2.value

Source artifact SHA-256: d6cfb13933ceefed630954f804e7dc979b747bc4aec4c8c5518232f25772736a

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

Inspected artifact

Baselines

Frozen scGPT and Geneformer probes, PCA-on-expression, within-stratum permutations and chance baselines.

Individual claims
Inflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing

Original source ↗

Methods: Datasets; Models, baselines and null calibrations; Age probe; cached text lines 13–22

Version: PMC archival version PMC13407579.1
Retrieved: 2026-09-16T10:33:44.421Z

source checked

automated source review · 2026-09-16

Audit details

Task-specific computational methodology and field context checked in the cited primary-source artifact. Source-backed fields, inapplicable evaluator dimensions and unresolved details are distinguished. Numerical results were not reproduced.

Field: attributes.profile.facts.3.value

Source artifact SHA-256: d6cfb13933ceefed630954f804e7dc979b747bc4aec4c8c5518232f25772736a

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

Inspected artifact

Leakage controls

Donor grouping prevents direct memorization of donor identities across partitions.

Individual claims
Inflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing

Original source ↗

Methods: Datasets; Models, baselines and null calibrations; Age probe; cached text lines 13–22

Version: PMC archival version PMC13407579.1
Retrieved: 2026-09-16T10:33:44.421Z

source checked

automated source review · 2026-09-16

Audit details

Task-specific computational methodology and field context checked in the cited primary-source artifact. Source-backed fields, inapplicable evaluator dimensions and unresolved details are distinguished. Numerical results were not reproduced.

Field: attributes.profile.facts.4.value

Source artifact SHA-256: d6cfb13933ceefed630954f804e7dc979b747bc4aec4c8c5518232f25772736a

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

Inspected artifact

Uncertainty

Permutation nulls calibrate the probe; exact test confidence intervals remain unextracted.

Individual claims
Inflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing

Original source ↗

Methods: Datasets; Models, baselines and null calibrations; Age probe; cached text lines 13–22

Version: PMC archival version PMC13407579.1
Retrieved: 2026-09-16T10:33:44.421Z

source checked

automated source review · 2026-09-16

Audit details

Task-specific computational methodology and field context checked in the cited primary-source artifact. Source-backed fields, inapplicable evaluator dimensions and unresolved details are distinguished. Numerical results were not reproduced.

Field: attributes.profile.facts.5.value

Source artifact SHA-256: d6cfb13933ceefed630954f804e7dc979b747bc4aec4c8c5518232f25772736a

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

Inspected artifact

Sources and history

Release 2026-09-17-d277315f7d76 · Record review: needs review

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

Stable ID: reported-task-d6018ca598e525

areas
cells-tissues
tasks
Donor-aware age-class prediction
entity level
task
version
Not reported
task
Donor-aware age-class prediction
scope note
Paper-specific evaluation task; protocol completeness requires further extraction.
benchmark research
review date: 2026-09-17; status: source_found_structured_extraction_pending; primary sources: evidence-expansion-p2-single-cell-aging-probes-2026-d6cfb13933ce; inspected locators: Table2, five donor cohorts; donor-aware split and null controls; searched queries: Inflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing primary paper benchmark results; gaps: Complete raw comparison acquired. Best-scFM is a selected pipeline, not a named family by inference. PCA, permutation mean/p 95 and chance 1/K remain separate reference types. Structured extraction pending.; claim scope: Primary-source discovery and table/protocol screening; source checked is not independently reproduced. Raw acquisitions not automatically numerical publication approval.
historical missing metadata
protocol version: not_reported_in_legacy_extract; split: not_reported_in_legacy_extract
metadata review scope
historical_missing_metadata preserves the original discovery state. Current descriptive evidence and missingness are recorded in profile.facts; numerical-result review is separate.
legacy kinds
benchmark
entity classification
review date: 2026-09-17; rationale: This source-scoped record identifies the biological prediction task and holds its paper context. Preserve the existing task identity; exact split, model adaptation and scoring remain in linked evaluations or separate protocol records.; source ids: single-cell-aging-probes-2026; source locator: Methods: Datasets; Models, baselines and null calibrations; Age probe; cached text lines 13–22; ambiguities: A paper- or suite-specific task may constrain some inputs or metrics; that alone does not make it interchangeable with a complete versioned protocol. No protocol equivalence is inferred.; Some legacy profile Entity type facts use the generic phrase computational evaluation protocol. That boilerplate is not sufficient to establish a single fixed protocol identity or to merge this task with another protocol record.
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