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Record W4205808939 · doi:10.37885/201001859

ATUAÇÃO DOS FISIOTERAPEUTAS NO ÂMBITO DA ATENÇÃO PRIMÁRIA À SAÚDE (APS) JUNTO A USUÁRIOS SUSPEITOS OU DIAGNOSTICADOS COM COVID-19*: CONTRIBUIÇÕES DA FISIOTERAPIA RESPIRATÓRIA

2020· book-chapter· pt· W4205808939 on OpenAlexaff
Mara Lisiane de Moraes dos Santos, Fernanda Warken Rosa Camelier

Bibliographic record

VenueEditora Científica Digital eBooks · 2020
Typebook-chapter
Languagept
FieldComputer Science
TopicHealthcare during COVID-19 Pandemic
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsMedicineHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Este documento tem por objetivo apresentar recomendações e informar aos fisioterapeutas e serviços de saúde sobre o papel do fisioterapeuta atuante na Atenção Primária à Saúde (APS) durante a pandemia de COVID-19, com ênfase na avaliação e utilização das técnicas e recursos da fisioterapia respiratória, com o intuito de ampliar o conhecimento acerca da especialidade no cotidiano nas diferentes realidades da rede de atenção no Brasil. Os Fisioterapeutas da APS, ao incorporarem os conhecimentos da fisioterapia respiratória e cardiovascular em seu cotidiano do trabalho, tanto para o planejamento das ações da APS (acolhimento, triagem e encaminhamentos) quanto para o acompanhamento dos usuários dos grupos de risco, dos casos suspeitos ou confirmados da COVID-19, aqueles que cursem com sintomas respiratórios leves e em condições de pós alta hospitalar, têm papel preponderante no cuidado ampliado e possíveis melhores desfechos clínicos junto aos usuários que estão sob a responsabilidade de suas equipes.

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)0.003
metaresearch head score (Gemma)0.010
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.061
GPT teacher head0.313
Teacher spread0.252 · 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
Published2020
Admission routes1
Has abstractyes

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