ESM-2 650M embeddings + classifier: uses model ESM-2
Source describes ESM-2 as an encoder/backbone/component of the evaluated estimator. Preserve the composite method as uses_model, not a family-equivalent ESM-2 score.
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.
6 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.field links:uses_model:discovery-model-esm-2 Context-only references | The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning Section 3.2 The Use of ESM-2 Embedding for Deamidation Site Prediction Version: journal full text in PMC | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.source_locator Section 3.2 The Use of ESM-2 Embedding for Deamidation Site Prediction Context-only references | The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning Section 3.2 The Use of ESM-2 Embedding for Deamidation Site Prediction Version: journal full text in PMC | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.target_id discovery-model-esm-2 Context-only references | The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning Section 3.2 The Use of ESM-2 Embedding for Deamidation Site Prediction Version: journal full text in PMC | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| description Source describes ESM-2 as an encoder/backbone/component of the evaluated estimator. Preserve the composite method as uses_model, not a family-equivalent ESM-2 score. Context-only references | The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning Section 3.2 The Use of ESM-2 Embedding for Deamidation Site Prediction Version: journal full text in PMC | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Relationship: subject reported-model-4921459942b45f Context-only references | The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning Section 3.2 The Use of ESM-2 Embedding for Deamidation Site Prediction Version: journal full text in PMC | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| name ESM-2 650M embeddings + classifier: uses model ESM-2 Context-only references | The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning Section 3.2 The Use of ESM-2 Embedding for Deamidation Site Prediction Version: journal full text in PMC | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
Sources and history
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Release 2026-09-29-06401fd5b220 · Record review: source checked
1 source records and release history
- The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning · Original source · journal full text in PMC
Technical metadata and extraction receipts
Stable ID: model-evaluation-identity-c3b2ed7682cff8b849f2
- areas
- proteins-complexes
- field
- links:uses_model:discovery-model-esm-2
- target id
- discovery-model-esm-2
- source locator
- Section 3.2 The Use of ESM-2 Embedding for Deamidation Site Prediction
- review
- method: automated_source_review; date: 2026-09-23; note: Source review establishes this relationship only. Exact evaluated configurations and original numerical review status remain unchanged. Source describes ESM-2 as an encoder/backbone/component of the evaluated estimator. Preserve the composite method as uses_model, not a family-equivalent ESM-2 score.
Related records
- subject: ESM-2 650M embeddings + classifier