rewire.itbenchmarks
Result

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

Claims, original sources and review scope · Release 2026-09-29-06401fd5b220
Property and statementOriginal source and locationReview and provenance
attributes.printed_value
0.54
Individual claims
GenePT: A Simple But Effective Foundation Model for Genes and Cells Built From ChatGPT

Original source ↗

Table 2, Aorta / Cell type row, GenePT-w ARI column

Version: PMC archival version PMC10614824.2
Retrieved: 2026-09-16T10:44:03.399274+00:00

source checked

independent ai table review · 2026-09-16T10:44:03.399274+00:00

author reported

Audit details

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.

Field: attributes.printed_value

Claim: claim-lit-b3-011

Source artifact SHA-256: 230a2ec55458d9243eaeeebf3244df7409eb02d47f4b809ee56a06dcb6fdd047

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

Inspected artifact

Extraction artifact SHA-256: 230a2ec55458d9243eaeeebf3244df7409eb02d47f4b809ee56a06dcb6fdd047

Extraction artifact

Sources and history

View linked audit checks and correction history

Release 2026-09-29-06401fd5b220 · Record review: source checked

1 source records and release historyDownload this release
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
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