Rilevazione dell'attivita di Pronto Soccorso nella Regione Abruzzo - Anno 2010
Bibliographic record
Abstract
La valutazione ed il miglioramento della qualità dei servizi rappresentano degli obiettivi fondamentali in qualsiasi sistema sanitario. Nella cura della salute, come in altri ambiti, ciò che non può essere misurato difficilmente può essere migliorato. La presente rilevazione, oltre a descrivere una serie di dati riguardanti l’attività svolta dalle Unità Operative (UU.OO.) di Pronto Soccorso (P.S.) della Regione Abruzzo nel corso dell’anno 2010, utilizza anche una serie di indicatori già descritti e validati nella relazione finale del Progetto Mattone “Pronto Soccorso e Sistema 118” al fine di mettere in atto un’indagine conoscitiva in merito alle prestazioni erogate all’interno dei P.S. (weblink:http://www.nsis.salute.gov.it/mattoni/documenti/MDS_MATTONI_SSN_milestone_1.2.4_Formazione_PS_v1_0.pdf) 2.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".