Result

0.55 F1

scGPT · F1 · hPancreas

Tested configuration: scGPT
Task: Cell-type annotation
Dataset: hPancreas
Related family profiles: scGPT
Procedure: Zero-shot setting; source caption says some comparator rows come from GenePT.
Evaluation: scGPT: Cell-type annotation
Coverage: scored: unreported; eligible: unreported
Uncertainty: Not reported
Evidence: Result quoted from another source · source checkedscELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis · Table 1, hPancreas zero-shot / scGPT (z) row, F1 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

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Access requirements and official instructions: Cell-type annotation

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

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1 evidence row matching the loaded filters

Claims, original sources and review scope · Release 2026-09-29-06401fd5b220
Property and statement	Original source and location	Review and provenance
attributes.printed_value 0.550 Individual claims	scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis Original source ↗ Table 1, hPancreas zero-shot / scGPT (z) row, F1 column Version: preprint archived 2025-08-23 Retrieved: 2026-09-16T10:41:16.537541+00:00	source checked independent ai table review · 2026-09-16T10:41:16.537541+00:00 paper compilation Audit details Selected first hPancreas zero-shot block and F1 last column. Caption says some scores are copied from GenePT; this is source checking of the reported table, not independent experimental evidence. This verifies the central score at its source location, not every metadata field or an experimental reproduction. Field: `attributes.printed_value` Claim: claim-lit-029 Source artifact SHA-256: `ef75f0d63a567f5e9d7132fd847f44838a82a9741ae55323437e1d1812d86316` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact Extraction artifact SHA-256: `ef75f0d63a567f5e9d7132fd847f44838a82a9741ae55323437e1d1812d86316` Extraction artifact

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Sources and history

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

1 source records and release history

scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis · Original source · preprint archived 2025-08-23

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Technical metadata and extraction receipts

Stable ID: lit-029

areas: cells-tissues
tasks: Cell-type annotation
printed value: 0.550
numeric value: 0.550
metric: F1
metric direction: unknown
unit: unitless
uncertainty: Not reported
source locator: Table 1, hPancreas zero-shot / scGPT (z) row, F1 column
review: method: independent_ai_table_review; reviewer: Codex omics research agent; independent source-table review, not human review; reviewed at: 2026-09-16T10:41:16.537541+00:00; notes: Selected first hPancreas zero-shot block and F1 last column. Caption says some scores are copied from GenePT; this is source checking of the reported table, not independent experimental evidence. This verifies the central score at its source location, not every metadata field or an experimental reproduction.; evidence: {"table_xml_id": "T1", "row_cells": ["scGPT (z)", "0.770", "0.610", "0.560", "0.550"], "selected_cell_zero_based": 4, "selected_cell_xml": "<td align=\"right\" valign=\"top\" rowspan=\"1\" colspan=\"1\">0.550</td>", "caption": "Scores of cell-type annotation task under different settings. Parts of the results are directly extracted from GenePT. Here PCA represents principal component analysis, and scELMo+random emb represents fine-tuning scELMo with random numbers as meaningless gene embeddings. Average ranks of all methods across datasets are summarized in Extended Data Figure 6 (b). We boldfaced the highest score of each metric for each dataset."}; artifact sha256: ef75f0d63a567f5e9d7132fd847f44838a82a9741ae55323437e1d1812d86316; retrieval url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12393277/fullTextXML
legacy id: lit-029
legacy row: id: lit-029; paper id: scelmo-2025; domain id: cells-tissues; task: Cell-type annotation; model: scGPT; model version: Not reported; dataset: hPancreas; dataset version: Not reported; split: Not reported; metric: F1; value: 0.550; unit: unitless; uncertainty: Not reported; protocol: Zero-shot setting; source caption says some comparator rows come from GenePT.; source locator: Table 1, hPancreas zero-shot / scGPT (z) row, F1 column; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12393277/; evaluation origin: paper_compilation; reviewed utc: 2026-09-15T23:25:00Z
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

Related records

evaluation: scGPT: Cell-type annotation
subject: Reported F1 for scGPT

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