I Relazione tecnica descrittiva delle attività svolte nell'ambito dell'Accordo di collaborazione triennale MATTM-DGSVI e CNR-IIA
Bibliographic record
Abstract
Il documento fornisce una relazione tecnica descrittiva relativa al I semestre di attività riguardanti l'Accordo di Collaborazione triennale stipulato il 24 aprile 2018 tra il Ministero dell'Ambiente e della Tutela del Territorio e del Mare - Direzione Generale per lo sviluppo sostenibile, per il danno ambientale e per i rapporti con l'Unione Europea e gli organismi internazionali (DGSVI) e l'Istituto sull'Inquinamento Atmosferico del Consiglio Nazionale delle Ricerche (CNR-IIA). Il personale del CNR ha collaborato con il personale del MATTM per i seguenti settori di attività: oArtico; oGEO (Group on Earth Observations); oInterconnessione tra inquinamento atmosferico, ricerca, sviluppo e trasferimento di tecnologie verdi; oConvenzione di Vienna e Protocollo di Montreal sulle sostanze che deteriorano lo strato di ozono.
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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 | 0.041 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.004 | 0.016 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.037 | 0.025 |
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".