Configuration

LR

LR as evaluated in the cited study. Paper-specific evaluated pipeline; exact checkpoint not inferred from label

Sources

Advancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row LR, column ACC; XML row8 column2

1 evaluation · 6 results

Overview

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limited source coverage · Automated source review, 2026-09-17. All specifications and missing details

Evaluations and results

1 evaluation · 6 results. Different protocols are not a single leaderboard.

Protocol: Clathrin independent test: selected-embedding classifiers (clathrin protein classification) · Dataset: Clathrin independent test: selected-embedding classifiers

Sorted by Accuracy (higher is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.

Tested configuration	Accuracy	AUROC	F1	MCC	Recall	Specificity
LREvaluation	0.877	0.948	0.897	0.747	0.873	0.884

All 6 result rows with coverage, uncertainty and sources

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Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: LR	Protocol: Clathrin independent test: selected-embedding classifiers (clathrin protein classification) Dataset: Clathrin independent test: selected-embedding classifiers	0.747 MCC unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source LR: Clathrin independent test: selected-embedding classifiers Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts. Aggregation: Not reported Advancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row LR, column MCC; XML row8 column5
Configuration: LR	Protocol: Clathrin independent test: selected-embedding classifiers (clathrin protein classification) Dataset: Clathrin independent test: selected-embedding classifiers	0.884 Specificity fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source LR: Clathrin independent test: selected-embedding classifiers Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts. Aggregation: Not reported Advancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row LR, column SP; XML row8 column4
Configuration: LR	Protocol: Clathrin independent test: selected-embedding classifiers (clathrin protein classification) Dataset: Clathrin independent test: selected-embedding classifiers	0.873 Recall fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source LR: Clathrin independent test: selected-embedding classifiers Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts. Aggregation: Not reported Advancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row LR, column SN; XML row8 column3
Configuration: LR	Protocol: Clathrin independent test: selected-embedding classifiers (clathrin protein classification) Dataset: Clathrin independent test: selected-embedding classifiers	0.877 Accuracy fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source LR: Clathrin independent test: selected-embedding classifiers Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts. Aggregation: Not reported Advancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row LR, column ACC; XML row8 column2
Configuration: LR	Protocol: Clathrin independent test: selected-embedding classifiers (clathrin protein classification) Dataset: Clathrin independent test: selected-embedding classifiers	0.897 F1 fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source LR: Clathrin independent test: selected-embedding classifiers Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts. Aggregation: Not reported Advancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row LR, column F1; XML row8 column6
Configuration: LR	Protocol: Clathrin independent test: selected-embedding classifiers (clathrin protein classification) Dataset: Clathrin independent test: selected-embedding classifiers	0.948 AUROC unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source LR: Clathrin independent test: selected-embedding classifiers Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts. Aggregation: Not reported Advancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row LR, column AUC; XML row8 column7

Source checking is not independent reproduction. Release 2026-11-02-a7f03c9e55a5.

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Evaluation in this paper

Paper-specific evaluated pipeline; exact checkpoint not inferred from label

Sources

Advancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row LR, column ACC; XML row8 column2

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Stable record: paper-model-93a9b3f432a5ecdb78

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Explanatory profile: limited source coverage · Automated source review, 2026-09-17. Review applies to the cited claims; unresolved fields are listed below. Numerical results retain their own review status.

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2 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
Evaluation in this paper Paper-specific evaluated pipeline; exact checkpoint not inferred from label Individual claims	Advancing the accuracy of clathrin protein prediction through multi-source protein language models Original source ↗ Table 3, row LR, column ACC; XML row8 column2 Version: journal full text in PMC Retrieved: 2026-09-17T07:56:20.050842+00:00	source checked automated source review · 2026-09-17 Audit details Primary-source transcription and separate automated review. No human sign-off or experimental reproduction. Field: `attributes.profile.sections.0.body` Source artifact SHA-256: `2edc86b25707c1b737d26117093ce8d856e79cc5d0b335f27c1c341f887f1c7e` Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact
Introduction LR as evaluated in the cited study. Paper-specific evaluated pipeline; exact checkpoint not inferred from label Individual claims	Advancing the accuracy of clathrin protein prediction through multi-source protein language models Original source ↗ Table 3, row LR, column ACC; XML row8 column2 Version: journal full text in PMC Retrieved: 2026-09-17T07:56:20.050842+00:00	source checked automated source review · 2026-09-17 Audit details Primary-source transcription and separate automated review. No human sign-off or experimental reproduction. Field: `attributes.profile.summary` Source artifact SHA-256: `2edc86b25707c1b737d26117093ce8d856e79cc5d0b335f27c1c341f887f1c7e` Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact

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Release 2026-11-02-a7f03c9e55a5 · Record review: needs review

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Advancing the accuracy of clathrin protein prediction through multi-source protein language models · Original source · journal full text in PMC

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Technical metadata and extraction receipts

Stable ID: paper-model-93a9b3f432a5ecdb78

areas: proteins-complexes
tasks: clathrin protein classification
configuration type: reported_configuration
version: Paper-specific evaluated pipeline; exact checkpoint not inferred from label
legacy kinds: model
entity classification: review date: 2026-09-17; rationale: This source-scoped entry preserves the method/configuration actually named in an evaluation. It is neither a global family identity nor proof of an immutable checkpoint; the linked evaluation retains adaptation, fitting and scoring details.; source ids: part2-clathrin-plm-2025; source locator: Table 3, row LR, column ACC; XML row8 column2; ambiguities: Configuration means the source-labelled evaluated identity. It does not establish missing checkpoint hashes, default settings or equivalence to same-named records in other papers.
provenance note: LR as evaluated in the cited study. Paper-specific evaluated pipeline; exact checkpoint not inferred from label

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system: LR: Clathrin independent test: selected-embedding classifiers

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