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Record W7074664016

Associação entre o ângulo de Norberg, o percentual de cobertura da cabeça femoral, o índice cortical e o ângulo de inclinação em cães com displasia coxofemoral

2010· article· pt· W7074664016 on OpenAlexaboutno aff

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2010
Typearticle
Languagept
FieldMedicine
TopicGestational Trophoblastic Disease Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSignificant differenceFemoral headTotal hip arthroplastyFemoral neck
DOInot available

Abstract

fetched live from OpenAlex

Foram avaliadas 386 radiografias da articulação coxofemoral, sendo 220 de cães da raça Pastor Alemão, 112 machos e 108 fêmeas, e 166 da raça Labrador Retriever, 69 machos e 97 fêmeas. As radiografias foram classificadas segundo o grau de displasia coxofemoral (DCF), e foram mensurados o ângulo de inclinação, o ângulo de Norberg, o índice cortical e o percentual de cobertura da cabeça femoral de ambos os lados. As variáveis foram associadas mediante análise estatística multivariada de componentes principais. As variáveis índice cortical e ângulo de inclinação foram inversamente associadas. A raça Pastor Alemão apresentou valores de índice cortical e graus de DCF mais baixos em relação à raça Labrador Retriever. Maior ângulo de inclinação foi associado a menor ângulo de Norberg e menor percentual de cobertura. Animais mais velhos apresentaram menor ângulo de Norberg, menor porcentagem de cobertura e maior grau de DCF. Nas fêmeas, foram observados menor porcentagem de cobertura, menor ângulo de Norberg e maior grau de DCF. Pode-se concluir que o ângulo de inclinação e o índice cortical não demonstraram associação com a DCF.

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)0.002
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.651
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.004
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 head0.020
GPT teacher head0.274
Teacher spread0.254 · 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 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
Published2010
Admission routes1
Has abstractyes

Explore more

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