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Record W4399371255 · doi:10.51161/epidemion2024/36334

ANÁLISE DO PERFIL EPIDEMIOLÓGICO DE PNEUMOCONIOSE RELACIONADA AO TRABALHO ENTRE 2014 A 2018 EM SÃO PAULO

2024· article· pt· W4399371255 on OpenAlexaff
Nathalia Barreto Sampaio, SABRINA DE AZEVEDO, LANA REIS DE SOUZA, VINICIUS NASCIMENTO AGUIAR BORGES, GIOVANA ABDULMASSYH BACCULI DE ALMEIDA

Bibliographic record

Venuenot available
Typearticle
Languagept
FieldHealth Professions
TopicOccupational Health and Safety in Workplaces
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsComputer scienceMedicine

Abstract

fetched live from OpenAlex

Introduo: Define-se pneumoconiose casos de pneumopatias relacionadas inalao de poeiras em ambientes de trabalho.O termo engloba todas as enfermidades pulmonares parenquimatosas ocasionadas pela inalao de partculas, sem considerar o mecanismo fisiopatolgico envolvido.Assim, os casos de pneumoconiose relacionadas ao trabalho, especialmente em So Paulo, que abriga diversos segmentos industriais, esto se transformando em um desafio de sade pblica.Objetivo: Descrever o perfil epidemiolgico dos casos de pneumoconiose relacionado ao trabalho entre os

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.334
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0580.023

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.

Opus teacher head0.039
GPT teacher head0.393
Teacher spread0.354 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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