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Record W3088876821 · doi:10.21071/az.v69i267.5345

Caracterización morfológica de cabras indígenas en el área de Laghouat en Argelia.

2020· article· es· W3088876821 on OpenAlexaff
Mourad Laouadi, Safia Tennah, Nassim Moula, Nicolas Antoine‐Moussiaux, N. Kafidi

Bibliographic record

VenueArchivos de Zootecnia · 2020
Typearticle
Languagees
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and phenotypic traits in livestock
Canadian institutionsCanadian Food Inspection Agency
Fundersnot available
KeywordsBiologyHumanitiesArt

Abstract

fetched live from OpenAlex

El objetivo de este estudio es caracterizar fenotípicamente dos razas de cabras indígenas en el área de Laghouat (Argelia), y evaluar el efecto de la edad y el sexo sobre las características biométricas morfológicas. Se analizarón un total de 312 animales: 58 hembras de raza Mekatia y 254 de raza Arabia (44 machos y 210 hembras). Los resultados muestran que la raza Mekatia se caracteriza por el pelo corto (96.55%) mientras que Arabia muestra un pelo largo (100% para los machos, 92.38% para las hembras). La mayor parte de los animales de ambas razas eran multicolores (≥3 colores). Las orejas semi-pendulares fueron las más representadas en Mekatia (48.28%) mientras que en Arabia, las orejas pendulares fueron las dominantes (79.55% y 75.72% en machos y en hembras, respectivamente). Sobre los rasgos cuantitativos, ambas razas se clasifican como grandes. El efecto de la edad se muestra para más de la mitad de las mediciones con un aumento general del tamaño del animal con la edad (p

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.740
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.007
GPT teacher head0.251
Teacher spread0.243 · 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 designBench or experimental
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
Published2020
Admission routes1
Has abstractyes

Explore more

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