Unidades de Pronto Atendimento (UPAs): características da gestão às redes de atenção no Paraná
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
As Unidades de Pronto Atendimento (UPAs) são classificadas, segundo a Política Nacional de Atenção às Urgências, de acordo com a capacidade física instalada, o número de leitos disponíveis, gestão de pessoas e a capacidade diária de realizar os atendimentos médicos. Objetivou-se identificar as características estruturais e de planejamento do serviço das UPAs às redes de atenção no Paraná. É um estudo de casos com entrevistas semiestruturadas com os coordenadores das UPAs, realizadas em 2012. Os dados foram armazenados e analisados em frequências absolutas e relativas. As UPAs necessitam estar integradas em uma política de Redes de Atenção à Saúde para ampliar a sua resolutividade.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.006 |
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 it