F1 of scGPT on M.S. single-cell dataset
0.734 F1
Methods
- Tested configuration
- scGPT
- Task
- Cell-type identification
- Dataset
- M.S. single-cell dataset
- Related family profiles
- scGPT
- Procedure
- Native scLLM cell-type identification as reported in Table 2.
- Evaluation
- scGPT: Cell-type identification
- Coverage
- Not reported scored / Not reported eligible
- Uncertainty
- Not yet extracted
- Evidence
- Independent external evaluation · source checkedParameter-Efficient Fine-Tuning Enhances Adaptation of Single Cell Large Language Model for Cell Type Identification · Table 2, M.S. / scGPT row, F1-Score 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 |
|---|---|---|
| Printed value 0.734 Individual claims | Parameter-Efficient Fine-Tuning Enhances Adaptation of Single Cell Large Language Model for Cell Type Identification Table 2, M.S. / scGPT row, F1-Score column Version: preprint archived 2024-01-30 | source checked ["ai-assisted-source-review"] · 2026-09-16T10:41:16.530269+00:00 independent paper Audit detailsSelected M.S. dataset block, first scGPT/Geneformer occurrences. F1-Score is last column; later dataset blocks deliberately excluded. This verifies the central score at its source location, not every metadata field or an experimental reproduction. Field: Claim: claim-lit-025 Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record Extraction artifact SHA-256: |
Sources and history
Release 2026-11-02-a7f03c9e55a5 · Record review: source checked
1 source record and release history
- Parameter-Efficient Fine-Tuning Enhances Adaptation of Single Cell Large Language Model for Cell Type Identification · Original source · preprint archived 2024-01-30
Technical metadata and extraction receipts
Stable ID: lit-025
- areas
- cells-tissues
- tasks
- Cell-type identification
- printed value
- 0.734
- numeric value
- 0.734
- metric
- f1-score
- metric direction
- unknown
- unit
- unitless
- source locator
- Table 2, M.S. / scGPT row, F1-Score column
- review
- method: ai-assisted-source-review; reviewer: codex; reviewed at: 2026-09-16T10:41:16.530269+00:00; evidence: {"table_xml_id": "T2", "row_cells": ["M.S.", "scGPT", "0.595", "0.777", "0.728", "0.734"], "selected_cell_zero_based": 5, "selected_cell_xml": "<td align=\"center\" valign=\"bottom\" rowspan=\"1\" colspan=\"1\">0.734</td>", "caption": "Performance of cell type identification using native scLLMs and popular tools.Bold value represents the highest score among the methods"}; artifact sha256: 77a4a859010259eadf2187465db6ab385efa4927a5eadb95c1e01991044c283f; retrieval url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC10862733/fullTextXML; method note: independent; table-level review; reviewer note: role: omics research agent; independent source-table review; not human review; note: Selected M.S. dataset block, first scGPT/Geneformer occurrences. F1-Score is last column; later dataset blocks deliberately excluded. This verifies the central score at its source location, not every metadata field or an experimental reproduction.
- legacy id
- lit-025
- missing metadata
- dataset version: reason: unextracted; model version: reason: unextracted; split: reason: unextracted; uncertainty: reason: unextracted
Related records
- evaluation: scGPT: Cell-type identification
- subject: Reported F1-Score for scGPT