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Síndrome da cauda flácida em cão da raça labrador retriever: primeiro relato no Brasil

2006· article· pt· W2049178546 on OpenAlex
Maria Lígia de Arruda Mistieri, Vera Grevel, João Guilherme Padilha Filho, Jõao Paulo da Exaltação Pascon, Júlio Carlos Canola, Daniel Orlato, Marileda Bonafim Carvalho

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCiência Rural · 2006
Typearticle
Languagept
FieldVeterinary
TopicVeterinary Orthopedics and Neurology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAnatomyHumanitiesArt

Abstract

fetched live from OpenAlex

A síndrome da cauda flácida é uma enfermidade que acomete cães de caça, principalmente Labradores Retriever e do grupo Pointer. Embora sua etiologia não esteja totalmente definida, sabe-se que sua ocorrência é precedida de esforço físico extenuante, exposição ao frio ou água fria e confinamento em caixas de transporte. O presente trabalho descreve o caso de um cão da raça Labrador Retriever, macho não castrado, de quatro anos de idade que apresentou súbita dor e flacidez da cauda após banho frio. Fratura vertebral, síndrome da cauda eqüina, outras enfermidades da medula espinhal ou de glândulas adanais e afecções prostáticas foram descartadas após exames auxiliares. A divulgação deste relato é relevante uma vez que esta síndrome ainda não foi descrita no Brasil.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.363
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.008

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 head0.027
GPT teacher head0.274
Teacher spread0.247 · 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