Strengths and considerations
No source-reviewed explanatory claims are recorded here yet.
Configuration
MLP
MLP 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 MLP, column ACC; XML row12 column2Overview
Key specifications have not been extracted for this record. See the linked evaluation and sources for the reported setup.
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.
Filter evaluations
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: MLP | Protocol: Clathrin independent test: selected-embedding classifiers (clathrin protein classification) Dataset: Clathrin independent test: selected-embedding classifiers | 0.946 F1 fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceMLP: 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 MLP, column F1; XML row12 column6 |
| Configuration: MLP | Protocol: Clathrin independent test: selected-embedding classifiers (clathrin protein classification) Dataset: Clathrin independent test: selected-embedding classifiers | 0.899 SP fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceMLP: 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 MLP, column SP; XML row12 column4 |
| Configuration: MLP | Protocol: Clathrin independent test: selected-embedding classifiers (clathrin protein classification) Dataset: Clathrin independent test: selected-embedding classifiers | 0.955 SN fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceMLP: 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 MLP, column SN; XML row12 column3 |
| Configuration: MLP | Protocol: Clathrin independent test: selected-embedding classifiers (clathrin protein classification) Dataset: Clathrin independent test: selected-embedding classifiers | 0.858 MCC dimensionless · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceMLP: 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 MLP, column MCC; XML row12 column5 |
| Configuration: MLP | Protocol: Clathrin independent test: selected-embedding classifiers (clathrin protein classification) Dataset: Clathrin independent test: selected-embedding classifiers | 0.968 AUC fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceMLP: 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 MLP, column AUC; XML row12 column7 |
| Configuration: MLP | Protocol: Clathrin independent test: selected-embedding classifiers (clathrin protein classification) Dataset: Clathrin independent test: selected-embedding classifiers | 0.933 ACC fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceMLP: 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 MLP, column ACC; XML row12 column2 |
Source checking is not independent reproduction. Release 2026-09-29-06401fd5b220.
Use this model
How it works, versions and access
How it works
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 MLP, column ACC; XML row12 column2Strengths, limitations and unresolved questions
Strengths and limitations
Limitations and conditions
No source-reviewed explanatory claims are recorded here yet.
Profile review details
Primary-source transcription and separate automated review. No human sign-off or experimental reproduction.
Stable record: paper-model-8bc6dae2e426518385Specifications
Inputs, training, access and other details
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.
| Property | Description and evidence |
|---|---|
| Model type | Not extracted or verified for this record. |
| Inputs | Not extracted or verified for this record. |
| Outputs | Not extracted or verified for this record. |
| Parameters | Not extracted or verified for this record. |
| Known versions | Not extracted or verified for this record. |
| Training data | Not extracted or verified for this record. |
| Context limits | Not extracted or verified for this record. |
| Access | Not extracted or verified for this record. |
| Code licence | Not extracted or verified for this record. |
| Weights licence | Not extracted or verified for this record. |
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.
2 evidence rows matching the loaded filters
| 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 Table 3, row MLP, column ACC; XML row12 column2 Version: journal full text in PMC | source checked automated source review · 2026-09-17 Audit detailsPrimary-source transcription and separate automated review. No human sign-off or experimental reproduction. Field: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Introduction MLP 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 Table 3, row MLP, column ACC; XML row12 column2 Version: journal full text in PMC | source checked automated source review · 2026-09-17 Audit detailsPrimary-source transcription and separate automated review. No human sign-off or experimental reproduction. Field: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
Sources and history
View linked audit checks and correction history
Release 2026-09-29-06401fd5b220 · Record review: needs review
1 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
Technical metadata and extraction receipts
Stable ID: paper-model-8bc6dae2e426518385
- areas
- proteins-complexes
- tasks
- clathrin protein classification
- entity level
- method
- 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 MLP, column ACC; XML row12 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.