Optimus 50: facets.method_types
Facets: method types of Optimus 50
["supervised_machine_learning"]
Correct the method type from none to supervised_machine_learning (use-case baseline review 2026-10-12, table 1).
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.
14 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Claimed field facets.method_types Context-only references | FramePool 2021 primary article FramePool Methods: convolutional networks trained on the MPRA library Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2021 journal article XML; PMC8136849.1 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Claimed field facets.method_types Context-only references | FramePool Supplementary Table S1 FramePool Methods: convolutional networks trained on the MPRA library Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2021 published S1 XLSX | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Previous value absent Context-only references | FramePool 2021 primary article FramePool Methods: convolutional networks trained on the MPRA library Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2021 journal article XML; PMC8136849.1 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Previous value absent Context-only references | FramePool Supplementary Table S1 FramePool Methods: convolutional networks trained on the MPRA library Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2021 published S1 XLSX | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Source location FramePool Methods: convolutional networks trained on the MPRA library Context-only references | FramePool 2021 primary article FramePool Methods: convolutional networks trained on the MPRA library Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2021 journal article XML; PMC8136849.1 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Source location FramePool Methods: convolutional networks trained on the MPRA library Context-only references | FramePool Supplementary Table S1 FramePool Methods: convolutional networks trained on the MPRA library Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2021 published S1 XLSX | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Claimed value ["supervised_machine_learning"] Context-only references | FramePool 2021 primary article FramePool Methods: convolutional networks trained on the MPRA library Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2021 journal article XML; PMC8136849.1 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Claimed value ["supervised_machine_learning"] Context-only references | FramePool Supplementary Table S1 FramePool Methods: convolutional networks trained on the MPRA library Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2021 published S1 XLSX | 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 Correct the method type from none to supervised_machine_learning (use-case baseline review 2026-10-12, table 1). Context-only references | FramePool 2021 primary article FramePool Methods: convolutional networks trained on the MPRA library Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2021 journal article XML; PMC8136849.1 | 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 Correct the method type from none to supervised_machine_learning (use-case baseline review 2026-10-12, table 1). Context-only references | FramePool Supplementary Table S1 FramePool Methods: convolutional networks trained on the MPRA library Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2021 published S1 XLSX | 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
Release 2026-11-02-a7f03c9e55a5 · Record review: source checked
2 source records and release history
- FramePool 2021 primary article · Original source · 2021 journal article XML; PMC8136849.1
- FramePool Supplementary Table S1 · Original source · 2021 published S1 XLSX
Technical metadata and extraction receipts
Stable ID: metadata-correction-tags-20261012-edd4fa880ccae4950bfe
- field
- facets.method_types
- previous value
- absent
- value
- ["supervised_machine_learning"]
- source locator
- FramePool Methods: convolutional networks trained on the MPRA library
- review
- method: source-hash-verification; automated-source-review; reviewer: claude; reviewer note: Separate Claude review agent, independent of the agent that prepared the corrections; no human review claimed; date: 2026-10-12; method note: Compared previous_value with origin/main and the store; re-retrieved the source (matches the source record) and read the passage in source_locator; checked the new value against the method-type definitions in data/vocab/method-type.ttl.; artifact sha256: 689af3ecab7b5a928eacc5a76d965960708cbb253fc7cdeae463b16d30ffd2e3; retrieval url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC8136849/fullTextXML; note: Correct the method type from none to supervised_machine_learning (use-case baseline review 2026-10-12, table 1). Evidence from docs/reviews/use-cases/baselines-2026-10-12.md. Independent review 2026-10-12: approved. See docs/reviews/2026-10-12-method-type-corrections.md.
Related records
- subject: Optimus 50