Evidence claim

scaLR: description

Description of scaLR

Low-resource single-cell annotation platform: it trains on feature subsets to rank gene importance, retrains the final model on the top-K features, and batches samples across CPUs to limit memory.

Replace a placeholder description with a sourced functional description (issue #88). Historical releases retain the original value.

Evidence

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Evidence table

Inspect claims, sources and review details

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7 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-11-02-a7f03c9e55a5
Property and statement	Original source and location	Review and provenance
Claimed field description Context-only references	scaLR: a low-resource deep neural network-based platform for single cell analysis and biomarker discovery Original source ↗ Reviewed profile (2026-09-16): summary at Abstract (paragraph 1); Results/Performance evaluation of scaLR using all genes as features (paragraph 1); architecture fact at Abstract (paragraph 1); Methods/The scaLR platform/Feature extraction (paragraph 1); description text also read at Abstract Version: version of record Retrieved: 2026-09-16T10:44:03.403844+00:00	not individually reviewed No individual claim review recorded Audit details Field: `attributes.field` Source artifact SHA-256: `829afab6a4e30997c608745d3eb280105b8c5c4e601020ffdc55c866144527ca` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Previous value Identity as reported in this paper. Unspecified versions are not assumed equivalent to other papers. Context-only references	scaLR: a low-resource deep neural network-based platform for single cell analysis and biomarker discovery Original source ↗ Reviewed profile (2026-09-16): summary at Abstract (paragraph 1); Results/Performance evaluation of scaLR using all genes as features (paragraph 1); architecture fact at Abstract (paragraph 1); Methods/The scaLR platform/Feature extraction (paragraph 1); description text also read at Abstract Version: version of record Retrieved: 2026-09-16T10:44:03.403844+00:00	not individually reviewed No individual claim review recorded Audit details Field: `attributes.previous_value` Source artifact SHA-256: `829afab6a4e30997c608745d3eb280105b8c5c4e601020ffdc55c866144527ca` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Source location Reviewed profile (2026-09-16): summary at Abstract (paragraph 1); Results/Performance evaluation of scaLR using all genes as features (paragraph 1); architecture fact at Abstract (paragraph 1); Methods/The scaLR platform/Feature extraction (paragraph 1); description text also read at Abstract Context-only references	scaLR: a low-resource deep neural network-based platform for single cell analysis and biomarker discovery Original source ↗ Reviewed profile (2026-09-16): summary at Abstract (paragraph 1); Results/Performance evaluation of scaLR using all genes as features (paragraph 1); architecture fact at Abstract (paragraph 1); Methods/The scaLR platform/Feature extraction (paragraph 1); description text also read at Abstract Version: version of record Retrieved: 2026-09-16T10:44:03.403844+00:00	not individually reviewed No individual claim review recorded Audit details Field: `attributes.source_locator` Source artifact SHA-256: `829afab6a4e30997c608745d3eb280105b8c5c4e601020ffdc55c866144527ca` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Claimed value Low-resource single-cell annotation platform: it trains on feature subsets to rank gene importance, retrains the final model on the top-K features, and batches samples across CPUs to limit memory. Context-only references	scaLR: a low-resource deep neural network-based platform for single cell analysis and biomarker discovery Original source ↗ Reviewed profile (2026-09-16): summary at Abstract (paragraph 1); Results/Performance evaluation of scaLR using all genes as features (paragraph 1); architecture fact at Abstract (paragraph 1); Methods/The scaLR platform/Feature extraction (paragraph 1); description text also read at Abstract Version: version of record Retrieved: 2026-09-16T10:44:03.403844+00:00	not individually reviewed No individual claim review recorded Audit details Field: `attributes.value` Source artifact SHA-256: `829afab6a4e30997c608745d3eb280105b8c5c4e601020ffdc55c866144527ca` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Description Replace a placeholder description with a sourced functional description (issue #88). Historical releases retain the original value. Context-only references	scaLR: a low-resource deep neural network-based platform for single cell analysis and biomarker discovery Original source ↗ Reviewed profile (2026-09-16): summary at Abstract (paragraph 1); Results/Performance evaluation of scaLR using all genes as features (paragraph 1); architecture fact at Abstract (paragraph 1); Methods/The scaLR platform/Feature extraction (paragraph 1); description text also read at Abstract Version: version of record Retrieved: 2026-09-16T10:44:03.403844+00:00	not individually reviewed No individual claim review recorded Audit details Field: `description` Source artifact SHA-256: `829afab6a4e30997c608745d3eb280105b8c5c4e601020ffdc55c866144527ca` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Relationship: subject reported-model-7cf2f9951e1dba Context-only references	scaLR: a low-resource deep neural network-based platform for single cell analysis and biomarker discovery Original source ↗ Reviewed profile (2026-09-16): summary at Abstract (paragraph 1); Results/Performance evaluation of scaLR using all genes as features (paragraph 1); architecture fact at Abstract (paragraph 1); Methods/The scaLR platform/Feature extraction (paragraph 1); description text also read at Abstract Version: version of record Retrieved: 2026-09-16T10:44:03.403844+00:00	not individually reviewed No individual claim review recorded Audit details Field: `links:subject:reported-model-7cf2f9951e1dba` Source artifact SHA-256: `829afab6a4e30997c608745d3eb280105b8c5c4e601020ffdc55c866144527ca` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Name scaLR: description Context-only references	scaLR: a low-resource deep neural network-based platform for single cell analysis and biomarker discovery Original source ↗ Reviewed profile (2026-09-16): summary at Abstract (paragraph 1); Results/Performance evaluation of scaLR using all genes as features (paragraph 1); architecture fact at Abstract (paragraph 1); Methods/The scaLR platform/Feature extraction (paragraph 1); description text also read at Abstract Version: version of record Retrieved: 2026-09-16T10:44:03.403844+00:00	not individually reviewed No individual claim review recorded Audit details Field: `name` Source artifact SHA-256: `829afab6a4e30997c608745d3eb280105b8c5c4e601020ffdc55c866144527ca` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact

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Sources and history

Release 2026-11-02-a7f03c9e55a5 · Record review: source checked

1 source record and release history

scaLR: a low-resource deep neural network-based platform for single cell analysis and biomarker discovery · Original source · version of record

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Technical metadata and extraction receipts

Stable ID: metadata-correction-b9ebad6c200a4b78cce2

areas: cells-tissues
field: description
previous value: Identity as reported in this paper. Unspecified versions are not assumed equivalent to other papers.
value: Low-resource single-cell annotation platform: it trains on feature subsets to rank gene importance, retrains the final model on the top-K features, and batches samples across CPUs to limit memory.
source locator: Reviewed profile (2026-09-16): summary at Abstract (paragraph 1); Results/Performance evaluation of scaLR using all genes as features (paragraph 1); architecture fact at Abstract (paragraph 1); Methods/The scaLR platform/Feature extraction (paragraph 1); description text also read at Abstract
review: method: automated-source-review; ai-assisted-source-review; reviewer: claude; reviewer note: Extractor: Claude integrator agent for issue #88. Reviewer: a separate Claude review agent, independent of the extractor; no human review claimed.; date: 2026-10-11; method note: Compared the store diff with origin/main, read each new description against its cited source passage and checked the licence of each new source record.; note: Approved. Checked all 11 scTab and MPRabc method descriptions against PMC11298532 and PMC13232518, and Lazypipe-nt, scaLR, CATHe2, DiffDock-NMDN, PC-mer and Hi-Enhancer against their papers; all match. The other pipeline descriptions are consistent with their pinned papers.; receipt: data/omics/qa-descriptions-20261011-c/review.json

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subject: scaLR

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