rewire.it
evaluation · needs review

scGPT: Cell-type structure in frozen embeddings

Evaluation procedure

k-means on pretrained cell embeddings; agreement with original cell-type labels.

Model
scGPT
Benchmark
Cell-type structure in frozen embeddings
Dataset
Aorta single-cell dataset
origin
Independent external evaluation
configuration
Not reported
protocol id
Not reported
dataset version
Not reported
split
Not reported
population
Not reported
inputs
Not reported
adaptation
Not reported
metric implementation
Not reported
aggregation
Not reported
budget
Not reported

Metadata review: needs review. Unreported conditions prevent automatic comparisons.

Evaluation results

Release 2026-09-16-d74d282221a9 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.

Results grouped by the exact reported evaluation
Metric and findingCoverage and uncertaintyEvidence
scGPT: Cell-type structure in frozen embeddings

k-means on pretrained cell embeddings; agreement with original cell-type labels.

Independent external evaluation · Evaluation metadata: needs review

0.47 Adjusted Rand Index

Unit: unitless · Direction: unknown

Uncertainty: not reported in legacy extract

Scored: Not reported · Eligible: Not reported

source checkedGenePT: A Simple But Effective Foundation Model for Genes and Cells Built From ChatGPT · Table 2, Aorta / Cell type row, scGPT ARI column

Source checking is not independent reproduction.

Sources and history

Release 2026-09-16-d74d282221a9 · Record review: needs review

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Technical metadata and extraction receipts

Stable ID: evaluation-lit-b3-012

areas
cells-tissues
tasks
Cell-type structure in frozen embeddings
origin
independent_paper
protocol
k-means on pretrained cell embeddings; agreement with original cell-type labels.
version
Not reported
comparison
protocol id: Not reported; dataset version: Not reported; split: Not reported; population: Not reported; inputs: Not reported; adaptation: Not reported; metric implementation: Not reported; aggregation: Not reported; budget: Not reported
missing metadata
model version: not_reported_in_legacy_extract; dataset version: not_reported_in_legacy_extract; split: not_reported_in_legacy_extract
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