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Record W2067983360 · doi:10.4141/cjas09108

Effect of litter size and sex in the birth weight of newborn kids and in the behaviour of primiparous goats before, during and after the parturition

2010· article· en· W2067983360 on OpenAlexvenueno aff
J. Otal, Miguel Ángel Martínez, A. Quiles, M. Hevia, Ana S. Ramírez

Bibliographic record

VenueCanadian Journal of Animal Science · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicReproductive Physiology in Livestock
Canadian institutionsnot available
Fundersnot available
KeywordsLitterAnimal scienceBirth weightLickingMedicineBiologyPregnancyInternal medicineEcology

Abstract

fetched live from OpenAlex

The objective of this study was to determine the effect of litter size (46 single birth and 32 double birth) and sex (44 male and 66 female) of newborn kids on the puerperal behaviour of primiparous Murciano-Granadina goats (N = 78). The highest frequencies were grunting, with 124.9 ± 166.5, and butting conspecific, with 7.0 ± 8.7. Frequencies of the remaining variables considered (standing, kicking, moving head and neck, licking their back and pawing the earth) were lower than 3.0. The majority of variables were significantly greater for single births than for twin births (P < 0.01). Goats that gave birth to twins spent more time lying down, and less time walking than those that gave birth to one kid (10.1 ± 6.7 min vs. 6.8 ± 7.0 min, P < 0.05 and 2.9 ± 1.1 min vs. 6.0 ± 5.5 min, P < 0.01, respectively). Parturition was longer and birth weight heavier for singleton than twin-born kids (64.5 ± 15.7 min vs. 41.9 ± 10.7 min and 2.9 ± 0.2 kg vs. 2.3 ± 0.1 kg, respectively). In conclusion, primiparous goats showed objective signs of discomfort that were more evident for singleton than twin birth kids.

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)0.002
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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.006
GPT teacher head0.213
Teacher spread0.207 · 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

Citations6
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Animal ScienceSame topicReproductive Physiology in LivestockFrench-language works237,207