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Avaliação fisiológica e comportamental de cães utilizados em terapia assistida por animais (TAA)

2012· article· pt· W2023436552 on OpenAlexaboutno aff
Kouji Yamamoto, E.Y.T Silva, Keyvilla Costa, Mario Sérgio de Souza, M. L. M. SILVA, Verônica Batista de Albuquerque, D. M. Pinheiro, Daniel Galera Bernabé, V.N.L.S Oliva

Bibliographic record

VenueArquivo Brasileiro de Medicina Veterinária e Zootecnia · 2012
Typearticle
Languagept
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

Realizou-se a observação comportamental de nove cães terapeutas (oito da raça Labrador Retriever e um Golden Retriever), dosaram-se cortisol sérico e salivar, aferiram-se a temperatura retal, a pressão arterial sistólica e as frequências cardíaca e respiratória nos seguintes momentos: M0 (média de três avaliações do cão em repouso) e em M1, M2 e M3 (imediatamente antes, imediatamente após e decorridas 24h das atividades de terapia assistida por animais - TAA), respectivamente. Não houve diferença significativa quanto às características estudadas (P>0,05), exceto pela temperatura, que foi mais elevada em M1 e M2 do que em M0 (P=0,009). A avaliação comportamental, realizada de maneira descritiva, não apresentou alteração negativa. Houve diferença significativa quanto à concentração de cortisol sérico entre os momentos M1 e M3 (P=0,071), e não ocorreu diferença da concentração do cortisol salivar entre os quatro momentos (P=0,746). As alterações observadas foram atribuídas à contenção e à manipulação dos animais e não desencadearam desconforto físico ou estresse dignos de nota em cães.

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)0.001
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.042
GPT teacher head0.364
Teacher spread0.322 · 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

Citations10
Published2012
Admission routes1
Has abstractyes

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