Bibliographic record
Abstract
6.5.0 (2025-05-02) Changes: Add Job status HTML response (resolves #779). Add the process property to Job status response when requesting profile=openEO, with a direct reference to the underlying CWL Application Package of the main Process ran by the Job. Fixes: Fix W3C PROV endpoints not returning contents in appropriate type when using f or format query parameter. On top of the supported explicit Accept header, the endpoints will now also allow either explicit Content-Type passed by f / format query parameter, their shorthand representations (e.g.: json for application/json and their more verbose PROV-specific representation (e.g.: f=prov-n), all case-insensitive. Fix /prov endpoint not correctly allowing the YAML equivalent representation of PROV-JSON contents. Fix reported $schema to point at the openEO Batch Job OenAPI definition when requesting profile=openEO. Fix reported type of the openEO Batch Job OenAPI definition as alternate to OGC API - Processes Job status using new weaver.processes.constants.JobStatusType definition that includes previous the process and provider values applied by weaver.datatype.Job.type. Fix Job statistics not reported by the API in case of execution failure, although they might be partially available.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.007 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.403 | 0.518 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".