Evidence claim

ESM-2 embedding + paper classifier: description

Description of ESM-2 embedding + paper classifier

ESM-2-only feature configuration of a clathrin-identification study: 1,280-dimensional ESM-2 embeddings feed an LSTM classifier, separately from the fused multi-model PLM-CLA predictor.

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

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.

14 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	Advancing the accuracy of clathrin protein prediction through multi-source protein language models Original source ↗ Reviewed profile (2026-09-16): summary at Materials and methods/Feature selection method (paragraph 1); Introduction (paragraph 3); architecture fact at Materials and methods/Overall framework of PLM-CLA (paragraph 1); Results and discussions/The effect of feature selection methods on the predictive performance (paragraph 1); description text also read at Results and discussions/Performance evaluation of individual feature embeddings (embedding dimensions and per-PLM LSTM models) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: journal full text in PMC Retrieved: 2026-09-16T10:38:57.558194+00:00	not individually reviewed No individual claim review recorded Audit details Field: `attributes.field` Source artifact SHA-256: `2edc86b25707c1b737d26117093ce8d856e79cc5d0b335f27c1c341f887f1c7e` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Claimed field description Context-only references	facebookresearch/esm README.md Original source ↗ Reviewed profile (2026-09-16): summary at Materials and methods/Feature selection method (paragraph 1); Introduction (paragraph 3); architecture fact at Materials and methods/Overall framework of PLM-CLA (paragraph 1); Results and discussions/The effect of feature selection methods on the predictive performance (paragraph 1); description text also read at Results and discussions/Performance evaluation of individual feature embeddings (embedding dimensions and per-PLM LSTM models) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2b369911bb5b4b0dda914521b9475cad1656b2ac Retrieved: 2026-09-16T20:00:00.816433+00:00	not individually reviewed No individual claim review recorded Audit details Field: `attributes.field` Source artifact SHA-256: `8b273c21a322fc9473d1b68d0dd40c8166ab2f89e4a190aa26ca87251b97cba9` 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	Advancing the accuracy of clathrin protein prediction through multi-source protein language models Original source ↗ Reviewed profile (2026-09-16): summary at Materials and methods/Feature selection method (paragraph 1); Introduction (paragraph 3); architecture fact at Materials and methods/Overall framework of PLM-CLA (paragraph 1); Results and discussions/The effect of feature selection methods on the predictive performance (paragraph 1); description text also read at Results and discussions/Performance evaluation of individual feature embeddings (embedding dimensions and per-PLM LSTM models) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: journal full text in PMC Retrieved: 2026-09-16T10:38:57.558194+00:00	not individually reviewed No individual claim review recorded Audit details Field: `attributes.previous_value` Source artifact SHA-256: `2edc86b25707c1b737d26117093ce8d856e79cc5d0b335f27c1c341f887f1c7e` 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	facebookresearch/esm README.md Original source ↗ Reviewed profile (2026-09-16): summary at Materials and methods/Feature selection method (paragraph 1); Introduction (paragraph 3); architecture fact at Materials and methods/Overall framework of PLM-CLA (paragraph 1); Results and discussions/The effect of feature selection methods on the predictive performance (paragraph 1); description text also read at Results and discussions/Performance evaluation of individual feature embeddings (embedding dimensions and per-PLM LSTM models) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2b369911bb5b4b0dda914521b9475cad1656b2ac Retrieved: 2026-09-16T20:00:00.816433+00:00	not individually reviewed No individual claim review recorded Audit details Field: `attributes.previous_value` Source artifact SHA-256: `8b273c21a322fc9473d1b68d0dd40c8166ab2f89e4a190aa26ca87251b97cba9` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Source location Reviewed profile (2026-09-16): summary at Materials and methods/Feature selection method (paragraph 1); Introduction (paragraph 3); architecture fact at Materials and methods/Overall framework of PLM-CLA (paragraph 1); Results and discussions/The effect of feature selection methods on the predictive performance (paragraph 1); description text also read at Results and discussions/Performance evaluation of individual feature embeddings (embedding dimensions and per-PLM LSTM models) Context-only references	Advancing the accuracy of clathrin protein prediction through multi-source protein language models Original source ↗ Reviewed profile (2026-09-16): summary at Materials and methods/Feature selection method (paragraph 1); Introduction (paragraph 3); architecture fact at Materials and methods/Overall framework of PLM-CLA (paragraph 1); Results and discussions/The effect of feature selection methods on the predictive performance (paragraph 1); description text also read at Results and discussions/Performance evaluation of individual feature embeddings (embedding dimensions and per-PLM LSTM models) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: journal full text in PMC Retrieved: 2026-09-16T10:38:57.558194+00:00	not individually reviewed No individual claim review recorded Audit details Field: `attributes.source_locator` Source artifact SHA-256: `2edc86b25707c1b737d26117093ce8d856e79cc5d0b335f27c1c341f887f1c7e` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Source location Reviewed profile (2026-09-16): summary at Materials and methods/Feature selection method (paragraph 1); Introduction (paragraph 3); architecture fact at Materials and methods/Overall framework of PLM-CLA (paragraph 1); Results and discussions/The effect of feature selection methods on the predictive performance (paragraph 1); description text also read at Results and discussions/Performance evaluation of individual feature embeddings (embedding dimensions and per-PLM LSTM models) Context-only references	facebookresearch/esm README.md Original source ↗ Reviewed profile (2026-09-16): summary at Materials and methods/Feature selection method (paragraph 1); Introduction (paragraph 3); architecture fact at Materials and methods/Overall framework of PLM-CLA (paragraph 1); Results and discussions/The effect of feature selection methods on the predictive performance (paragraph 1); description text also read at Results and discussions/Performance evaluation of individual feature embeddings (embedding dimensions and per-PLM LSTM models) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2b369911bb5b4b0dda914521b9475cad1656b2ac Retrieved: 2026-09-16T20:00:00.816433+00:00	not individually reviewed No individual claim review recorded Audit details Field: `attributes.source_locator` Source artifact SHA-256: `8b273c21a322fc9473d1b68d0dd40c8166ab2f89e4a190aa26ca87251b97cba9` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Claimed value ESM-2-only feature configuration of a clathrin-identification study: 1,280-dimensional ESM-2 embeddings feed an LSTM classifier, separately from the fused multi-model PLM-CLA predictor. Context-only references	Advancing the accuracy of clathrin protein prediction through multi-source protein language models Original source ↗ Reviewed profile (2026-09-16): summary at Materials and methods/Feature selection method (paragraph 1); Introduction (paragraph 3); architecture fact at Materials and methods/Overall framework of PLM-CLA (paragraph 1); Results and discussions/The effect of feature selection methods on the predictive performance (paragraph 1); description text also read at Results and discussions/Performance evaluation of individual feature embeddings (embedding dimensions and per-PLM LSTM models) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: journal full text in PMC Retrieved: 2026-09-16T10:38:57.558194+00:00	not individually reviewed No individual claim review recorded Audit details Field: `attributes.value` Source artifact SHA-256: `2edc86b25707c1b737d26117093ce8d856e79cc5d0b335f27c1c341f887f1c7e` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Claimed value ESM-2-only feature configuration of a clathrin-identification study: 1,280-dimensional ESM-2 embeddings feed an LSTM classifier, separately from the fused multi-model PLM-CLA predictor. Context-only references	facebookresearch/esm README.md Original source ↗ Reviewed profile (2026-09-16): summary at Materials and methods/Feature selection method (paragraph 1); Introduction (paragraph 3); architecture fact at Materials and methods/Overall framework of PLM-CLA (paragraph 1); Results and discussions/The effect of feature selection methods on the predictive performance (paragraph 1); description text also read at Results and discussions/Performance evaluation of individual feature embeddings (embedding dimensions and per-PLM LSTM models) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2b369911bb5b4b0dda914521b9475cad1656b2ac Retrieved: 2026-09-16T20:00:00.816433+00:00	not individually reviewed No individual claim review recorded Audit details Field: `attributes.value` Source artifact SHA-256: `8b273c21a322fc9473d1b68d0dd40c8166ab2f89e4a190aa26ca87251b97cba9` 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	Advancing the accuracy of clathrin protein prediction through multi-source protein language models Original source ↗ Reviewed profile (2026-09-16): summary at Materials and methods/Feature selection method (paragraph 1); Introduction (paragraph 3); architecture fact at Materials and methods/Overall framework of PLM-CLA (paragraph 1); Results and discussions/The effect of feature selection methods on the predictive performance (paragraph 1); description text also read at Results and discussions/Performance evaluation of individual feature embeddings (embedding dimensions and per-PLM LSTM models) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: journal full text in PMC Retrieved: 2026-09-16T10:38:57.558194+00:00	not individually reviewed No individual claim review recorded Audit details Field: `description` Source artifact SHA-256: `2edc86b25707c1b737d26117093ce8d856e79cc5d0b335f27c1c341f887f1c7e` 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	facebookresearch/esm README.md Original source ↗ Reviewed profile (2026-09-16): summary at Materials and methods/Feature selection method (paragraph 1); Introduction (paragraph 3); architecture fact at Materials and methods/Overall framework of PLM-CLA (paragraph 1); Results and discussions/The effect of feature selection methods on the predictive performance (paragraph 1); description text also read at Results and discussions/Performance evaluation of individual feature embeddings (embedding dimensions and per-PLM LSTM models) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2b369911bb5b4b0dda914521b9475cad1656b2ac Retrieved: 2026-09-16T20:00:00.816433+00:00	not individually reviewed No individual claim review recorded Audit details Field: `description` Source artifact SHA-256: `8b273c21a322fc9473d1b68d0dd40c8166ab2f89e4a190aa26ca87251b97cba9` 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

2 source records and release history

Advancing the accuracy of clathrin protein prediction through multi-source protein language models · Original source · journal full text in PMC
facebookresearch/esm README.md · Original source · 2b369911bb5b4b0dda914521b9475cad1656b2ac

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Technical metadata and extraction receipts

Stable ID: metadata-correction-c78e2991f795ef5d61ac

areas: proteins-complexes
field: description
previous value: Identity as reported in this paper. Unspecified versions are not assumed equivalent to other papers.
value: ESM-2-only feature configuration of a clathrin-identification study: 1,280-dimensional ESM-2 embeddings feed an LSTM classifier, separately from the fused multi-model PLM-CLA predictor.
source locator: Reviewed profile (2026-09-16): summary at Materials and methods/Feature selection method (paragraph 1); Introduction (paragraph 3); architecture fact at Materials and methods/Overall framework of PLM-CLA (paragraph 1); Results and discussions/The effect of feature selection methods on the predictive performance (paragraph 1); description text also read at Results and discussions/Performance evaluation of individual feature embeddings (embedding dimensions and per-PLM LSTM models)
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: ESM-2 embedding + paper classifier

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