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Record W2910384205 · doi:10.5380/avs.v23i4.54725

ALTA OCORRÊNCIA DE GOTA CITOPLASMÁTICA DISTAL ALTERA PARÂMETROS RELACIONADOS AO MOVIMENTO ESPERMÁTICO DE REPRODUTORES SUÍNOS

2018· article· pt· W2910384205 on OpenAlexaff
Thais Schwarz Gaggini, Helomar Barbosa, Marcelo Emı́lio Beletti, Fernanda Marcondes de Rezende, Robson Carlos Antunes

Bibliographic record

VenueArchives of Veterinary Science · 2018
Typearticle
Languagept
FieldMedicine
TopicSperm and Testicular Function
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsPhysicsAnatomyBiology

Abstract

fetched live from OpenAlex

O objetivo da pesquisa foi comparar parâmetros relacionados ao movimento espermático de ejaculados aprovados e reprovados com alta ocorrência de gota citoplasmática distal. Foram selecionadas 169 amostras de morfologia espermática para serem utilizadas no estudo. Destas, 25 foram reprovadas devido à presença de mais de 10% de gota distal e 144 foram aprovadas em todos os parâmetros avaliados. A avaliação da morfologia espermática foi realizada, contabilizando 200 células por amostra, utilizando microscópio com aumento de 100x. Considerou-se aprovado o ejaculado que apresentou, de forma cumulativa, menos de 20% de células anormais, menos de 5% de defeitos de cabeça, acrossoma, colo e peça intermediária e menos de 10% de alterações de cauda e presença de gota proximal e distal. Características da motilidade espermática avaliada pelo sistema computadorizado foram coletadas de todos os ejaculados avaliados no estudo. Ejaculados reprovados devido à alta ocorrência de gota distal apresentaram menor velocidade em linha reta (p=0,04), menor motilidade total (p=0,035) e progressiva (p=0,004) quando comparados a ejaculados aprovados no exame morfológico. Os resultados indicam que a alta ocorrência de gota citoplasmática distal influencia nos parâmetros de movimento espermático de reprodutores suínos.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.768
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.308
Teacher spread0.283 · 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 teacher head, not a consensus.

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

Citations2
Published2018
Admission routes1
Has abstractyes

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