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Record W4386296210 · doi:10.38087/2595.8801.209

A BIOESTATISTICA ASSOCIADA A EPIDEMIOLOGIA NA ATENÇÃO BÁSICA DE SAÚDE

2023· article· pt· W4386296210 on OpenAlexaff
Bruno Rocha de Souza, Luigì Santacroce, Henry Oh

Bibliographic record

VenueCOGNITIONIS Scientific Journal · 2023
Typearticle
Languagept
FieldComputer Science
TopicHealthcare during COVID-19 Pandemic
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesSciELOPhilosophyMEDLINEPolitical science

Abstract

fetched live from OpenAlex

Objetiva-se por intermédio do presente estudo compreender como o conhecimento em bioestatística associado a epidemiologia influencia e pode ser aplicado na atenção básica de saúde.O estudo trata-se de uma revisão bibliográfica, possuindo carater exploratório e descritivo e desenvolvido pelo método qualitativo, através de artigos científicos e obras literárias que respondam os questionamentos levantados , sem recorte temporal, no idioma português, pesquisadas nas bases de dados LILACS, MEDLINE, BDTD, Google acadêmico, SciELO e periódicos da CAPES. Conclui-se que a bioestatística e a epidemiologia quando associadas, proprociona principalmente ao profissional de saúde na atenção básica, a entender e a compreender comportamentos ou situações que envolvam a população como um todo ou parte dela.

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)0.018
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.646
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0060.001
Scholarly communication0.0040.001
Open science0.0020.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.007

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 head0.109
GPT teacher head0.372
Teacher spread0.263 · 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; a candidate call from one teacher head, not a consensus.

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

Citations1
Published2023
Admission routes1
Has abstractyes

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