0.939 Cell-type accuracy
scVI + scANVI · Cell-type accuracy · PBMCs-BS
- Tested pipeline
- scVI + scANVI
- Task
- PBMC cell-type classification
- Dataset
- PBMCs-BS
- Procedure
- All features and samples from PBMCs-BS; comparison pipeline combines scVI and scANVI.
- Evaluation
- scVI + scANVI: PBMC cell-type classification
- Coverage
- scored: unreported; eligible: unreported
- Uncertainty
- Not reported
- Evidence
- Independent external evaluation · source checkedscaLR: a low-resource deep neural network-based platform for single cell analysis and biomarker discovery · Table 2, Svi-tools (scVI & scANVI) row, Cell type Accuracy 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 0.939 Individual claims | scaLR: a low-resource deep neural network-based platform for single cell analysis and biomarker discovery Table 2, Svi-tools (scVI & scANVI) row, Cell type Accuracy column Version: version of record | source checked independent ai table review · 2026-09-16T10:44:03.405089+00:00 independent paper Audit detailsPBMCs-BS all-feature/all-sample cell-type accuracy block, not cell-state accuracy or time. Footnote letters on model labels excluded from identity. Source check verifies central value and table context, not experiment reproduction or all metadata. Field: Claim: claim-lit-b3-016 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
- scaLR: a low-resource deep neural network-based platform for single cell analysis and biomarker discovery · Original source · version of record
Technical metadata and extraction receipts
Stable ID: lit-b3-016
- areas
- cells-tissues
- tasks
- PBMC cell-type classification
- printed value
- 0.939
- numeric value
- 0.939
- metric
- Cell-type accuracy
- metric direction
- unknown
- unit
- unitless
- uncertainty
- Not reported
- source locator
- Table 2, Svi-tools (scVI & scANVI) row, Cell type Accuracy column
- review
- method: independent_ai_table_review; reviewer: Codex omics research agent; independent source-table review, not human review; reviewed at: 2026-09-16T10:44:03.405089+00:00; notes: PBMCs-BS all-feature/all-sample cell-type accuracy block, not cell-state accuracy or time. Footnote letters on model labels excluded from identity. Source check verifies central value and table context, not experiment reproduction or all metadata.; evidence: {"table_xml_id": "TB2", "row_cells": ["Svi-tools(scVI & scANVI)b", "0.939", "53:52", "23.914", "0.870", "54:24", "23.645"], "selected_cell_zero_based": 1, "selected_cell_xml": "<td align=\"left\" rowspan=\"1\" colspan=\"1\">0.939</td>", "caption": "Accuracy, wall-clock time, and memory usage of different pipelines executed using all features and samples from the PBMCs-BS dataset."}; artifact sha256: 829afab6a4e30997c608745d3eb280105b8c5c4e601020ffdc55c866144527ca; retrieval url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12121358/fullTextXML
- legacy id
- lit-b3-016
- legacy row
- id: lit-b3-016; paper id: scalr-2025; domain id: cells-tissues; task: PBMC cell-type classification; model: scVI + scANVI; model version: Not reported; dataset: PBMCs-BS; dataset version: Not reported; split: Not reported; metric: Cell-type accuracy; value: 0.939; unit: unitless; uncertainty: Not reported; protocol: All features and samples from PBMCs-BS; comparison pipeline combines scVI and scANVI.; source locator: Table 2, Svi-tools (scVI & scANVI) row, Cell type Accuracy column; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12121358/; evaluation origin: independent_paper; 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