Bibliographic record
Abstract
The Agency for Health Quality and Assessment of Catalonia (AQuAS) is a public entity of the Catalan Health Ministry of the Government of Catalonia acting for public policies.Its mission is to generate relevant knowledge by evaluating and analysing data for decision-making in order to improve the health of citizens and the sustainability of the Catalan Health Care System.AQuAS is a founding member of the International Network of Agencies of Health Technology Assessment (INAHTA) and the International School on Research Impact Assessment (ISRIA), it is a corporative member of Health Technology Assessment International (HTAi), of the CI-BER group (Networked Biomedical Research Centers) in Epidemiology and Public Health, and of REDISSEC (Spanish Research Network on Health Services in Chronic Diseases), and of RICAPPS (Research Network in Chronicity, Primary Care and Health Promotion), as well as an associated unit of the INGENIO (CSIC-UPV) research centre.AQuAS was awarded with the Josep Trueta's Medal for its health merits by the Government of Catalonia.It is recommended that this document be cited as follows: Agency of Health Quality and Assessment of Catalonia.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.007 | 0.003 |
| Insufficient payload (model declined to judge) | 0.056 | 0.021 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".