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Record W7120532766

Testicular descent and seminal characteristics at puberty and sexual maturity in Labrador Retriever dogs

2003· dissertation· pt· W7120532766 on OpenAlexaboutno aff
Tricia Osório da Silva

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2003
Typedissertation
Languagept
FieldMedicine
TopicSperm and Testicular Function
Canadian institutionsnot available
Fundersnot available
KeywordsLabrador RetrieverSecondary sex characteristicSexual maturity
DOInot available

Abstract

fetched live from OpenAlex

No presente trabalho foram verificados o descenso testicular em cães da raça Retriever do Labrador e a idade na qual esses cães atingem a puberdade e a maturidade sexual. Os testículos não foram palpáveis na região inguinal no segundo dia após o nascimento. Na décima semana de idade, eles o foram no colo do escroto (10 + 0,44), permanecendo palpáveis nessa região até a décima segunda semana (12 + 0,78). Esses órgãos foram palpáveis próximos ao escroto na décima terceira semana de idade (13 + 0,78) até a décima quinta (15 + 0,78). Sua palpação no escroto ocorreu na décima sexta semana de idade (16 + 0,78). A puberdade foi considerada como o aparecimento dos primeiros espermatozóides no ejaculado, e isso aconteceu na idade de 29 semanas (29 + 0,54). No decorrer do período pós-puberal houve decréscimo na porcentagem de defeitos maiores e defeitos totais, bem como aumento na motilidade progressiva, no turbilhonamento, no vigor espermático, na concentração espermática por mL e no número total de espermatozóides no ejaculado. As anormalidades mais encontradas logo após a puberdade foram: patologias de acrossoma e formas teratológicas. Entre as anormalidades consideradas defeitos menores, a que mais se observou nesse período foi a gota citoplasmática distal. Os cães atingiram a maturidade sexual na idade de 43 semanas (43 + 1,12).

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)0.000
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.016
GPT teacher head0.243
Teacher spread0.227 · 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
Published2003
Admission routes1
Has abstractyes

Explore more

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