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Record W2954452664 · doi:10.19137/cienvet20141623

Fisiología del ciclo estral bovino

2014· article· es· W2954452664 on OpenAlexaff
M.G. Colazo, R.J. Mapletoft

Bibliographic record

VenueCiencia Veterinaria · 2014
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicReproductive Physiology in Livestock
Canadian institutionsUniversity of SaskatchewanAgriculture Food and Rural Development
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Una mejor comprensión de la fisiología del ciclo estral y la función ovárica ha resultado en una mayor capacidad para manipular su control. Descubrimientos recientes de las funciones del cuerpo lúteo y las ondas foliculares del ciclo estral bovino se han traducido en un renovado entusiasmo por las oportunidades de poder lograr un mejor control de la inducción de la ovulación y una más precisa sincronización del ciclo estral. El alto nivel de interés se refleja en el gran aumento de revisiones publicadas sobre la manipulación del ciclo estral durante los últimos años (Odde, 1990; Larson y Ball, 1992; Wiltbank, 1997; Roche et al., 1997; Mapletoft et al., 2002; Macmillan et al ., 2003; Kastelic et al., 2008; Macmillan, 2010; Colazo y Mapletoft 2014). La intención de este manuscrito es proporcionar una visión general de los eventos ováricos normales en el ganado bovino adulto y prepúber, con la idea de impulsar una discusión para aumentar aun más nuestra capacidad de manipulación del ciclo estral bovino DOI:http://dx.doi.org/10.19137/cienvet2014-1623

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.029
GPT teacher head0.258
Teacher spread0.229 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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