Problematic alcohol and tobacco use among healthcare professionals
Bibliographic record
Abstract
O objetivo deste estudo foi descrever a prevalência e características do uso problemático de álcool e tabaco entre profissionais de saúde atuantes na Estratégia de Saúde da Família. Foi realizado um estudo transversal com profissionais de saúde do Alto Uruguai Catarinense, Santa Catarina, Brasil. As variáveis dependentes foram o uso problemático de álcool e o uso de tabaco e as variáveis independentes foram as características sociodemográficas, socioeconômicas e condições de saúde. Observou-se que 6,2% apresentavam uso problemático de álcool e 8,5% usavam tabaco. Torna-se essencial que os serviços de saúde estruturem políticas e ações específicas o desenvolvimento de estratégias de prevenção e tratamento específicos para este grupo de profissionais, aumentando a qualidade dos serviços prestados aos usuários neste nível de atenção
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".