0.54 Adjusted Rand Index
GenePT-w · Adjusted Rand Index · Aorta single-cell dataset
- Tested configuration
- GenePT-w
- Task
- Cell-type structure in frozen embeddings
- Dataset
- Aorta single-cell dataset
- Procedure
- k-means on pretrained cell embeddings; agreement with original cell-type labels.
- Evaluation
- GenePT-w: Cell-type structure in frozen embeddings
- Coverage
- scored: unreported; eligible: unreported
- Uncertainty
- Not reported
- Evidence
- Author-reported evaluation · source checkedGenePT: A Simple But Effective Foundation Model for Genes and Cells Built From ChatGPT · Table 2, Aorta / Cell type row, GenePT-w ARI column
A source-checked result verifies the numerical transcription, not every model or protocol detail. Evaluation metadata: needs review. Source checked does not mean independently reproduced.
Reproduction
- Split
- Not reported
- Adaptation
- Not reported
- Scoring implementation
- Not reported
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
Source checking verifies the cited claim or transcription. It does not establish independent reproduction.
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.
1 evidence row matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.printed_value 0.54 Individual claims | GenePT: A Simple But Effective Foundation Model for Genes and Cells Built From ChatGPT Table 2, Aorta / Cell type row, GenePT-w ARI column Version: PMC archival version PMC10614824.2 | source checked independent ai table review · 2026-09-16T10:44:03.399274+00:00 author reported Audit detailsFirst Cell type row belongs to Aorta, not preceding Phenotype row or later organs. ARI is first in each three-metric method block, not AMI/ASW. Source check verifies central value and table context, not experiment reproduction or all metadata. Field: Claim: claim-lit-b3-011 Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record Extraction artifact SHA-256: |
Sources and history
View linked audit checks and correction history
Release 2026-09-29-06401fd5b220 · Record review: source checked
1 source records and release history
- GenePT: A Simple But Effective Foundation Model for Genes and Cells Built From ChatGPT · Original source · PMC archival version PMC10614824.2
Technical metadata and extraction receipts
Stable ID: lit-b3-011
- areas
- cells-tissues
- tasks
- Cell-type structure in frozen embeddings
- printed value
- 0.54
- numeric value
- 0.54
- metric
- Adjusted Rand Index
- metric direction
- unknown
- unit
- unitless
- uncertainty
- Not reported
- source locator
- Table 2, Aorta / Cell type row, GenePT-w ARI column
- review
- method: independent_ai_table_review; reviewer: Codex omics research agent; independent source-table review, not human review; reviewed at: 2026-09-16T10:44:03.399274+00:00; notes: First Cell type row belongs to Aorta, not preceding Phenotype row or later organs. ARI is first in each three-metric method block, not AMI/ASW. Source check verifies central value and table context, not experiment reproduction or all metadata.; evidence: {"table_xml_id": "T6", "row_cells": ["", "Cell type", "0.21", "0.31", "−0.04", "0.47", "0.64", "0.18", "0.54", "0.60", "0.03", "0.31", "0.47", "0.04"], "selected_cell_zero_based": 8, "selected_cell_xml": "<td align=\"center\" valign=\"top\" rowspan=\"1\" colspan=\"1\">\n<bold>0.54</bold>\n</td>", "caption": "Assessing the Association Between Different Latent Cell Representations and Biological Annotations.This analysis involves datasets representing cells from circulatory systems (Aorta and Artery), bone tissues (Bones, Myeloid), the Pancreas, and immune cells collected from healthy individuals and patients with Multiple Sclerosis. We utilized pretrained Geneformer and scGPT embeddings for this task. The Adjusted Rand Index (ARI) and Adjusted Mutual Information (AMI) were computed to compare the labels derived from k-means clustering with the true annotations of the original samples (higher values indicate better alignment); the Average Silhouette Width (ASW) was calculated using the true annotations of original samples to assess the cohesion and separation of the clusters."}; artifact sha256: 230a2ec55458d9243eaeeebf3244df7409eb02d47f4b809ee56a06dcb6fdd047; retrieval url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC10614824/fullTextXML
- legacy id
- lit-b3-011
- legacy row
- id: lit-b3-011; paper id: genept-2024; domain id: cells-tissues; task: Cell-type structure in frozen embeddings; model: GenePT-w; model version: Not reported; dataset: Aorta single-cell dataset; dataset version: Not reported; split: Not reported; metric: Adjusted Rand Index; value: 0.54; unit: unitless; uncertainty: Not reported; protocol: k-means on pretrained cell embeddings; agreement with original cell-type labels.; source locator: Table 2, Aorta / Cell type row, GenePT-w ARI column; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC10614824/; evaluation origin: author_reported; reviewed utc: 2026-09-15T23:29:32Z
- missing metadata
- model version: not_reported_in_legacy_extract; dataset version: not_reported_in_legacy_extract; split: not_reported_in_legacy_extract; uncertainty: not_reported_in_legacy_extract