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Record W3203079009 · doi:10.32963/bcmufsc.v7i2.4741

SONO NA ATENÇÃO PRIMÁRIA

2021· article· pt· W3203079009 on OpenAlexaff
Laíse Koenig de Lima, Linério Ribeiro de Novais Júnior, Hannah Bang, Taís Luise Denicol, Gabriela Bernades, Aline Vieira Scarlatelli Lima Bardini, Jaime Lin

Bibliographic record

VenueBoletim do Curso de Medicina da UFSC · 2021
Typearticle
Languagept
FieldHealth Professions
TopicOccupational Health and Burnout
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsMedicinePsychology

Abstract

fetched live from OpenAlex

O sono é uma condição fisiológica da atividade cerebral dos humanos, em que ocorre alterações de mobilidade, motricidade e também no estado de consciência. Desta maneira, fez-se uma revisão sistemática de artigos sobre os distúrbios do sono, principalmente, focada na atenção primária em saúde. Os assuntos abordados foram insônia, distúrbios respiratórios do sono, parassonia, tanto a Rapid Eye Movement (REM) quanto a não REM (NREM), hipersonia/narcolepsia e distúrbios sono-vigília do ritmo circadiano. Assim, a revisão fornece características gerais das patologias, a busca diagnóstica e terapêutica das mesmas, com intuito não só de auxiliar os médicos da atenção primária no rastreio e intervenção adequada, mas também como parte da prática clínica ao ampliar o racicínio de diagnósticos diferenciais.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.074
GPT teacher head0.439
Teacher spread0.365 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2021
Admission routes1
Has abstractyes

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