MétaCan
Menu
Back to cohort

Efeitos de Ambiente e de Heterose sobre o Ganho de Peso do Nascimento ao Desmame e sobre os Escores Visuais ao Desmame de Bovinos de Corte

2002· article· pt· W2004004174 on OpenAlexaff
Rossano André Dal-Farra, Vanerlei Mozaquatro Roso, Flávio S. Schenkel

Bibliographic record

VenueRevista Brasileira de Zootecnia · 2002
Typearticle
Languagept
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and phenotypic traits in livestock
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsHumanitiesAnimal sciencePhilosophyBiology

Abstract

fetched live from OpenAlex

Os objetivos deste trabalho foram a obtenção de fatores de correção para efeitos de idade do bezerro, idade da vaca e data juliana do nascimento sobre o ganho de peso do nascimento à desmama (GND) e sobre os escores visuais de conformação (C), precocidade (P) e musculatura (M) e a estimação dos efeitos das heteroses materna e individual nessas características. Foram utilizados dados dos Programas de Melhoramento Genético Natura e Conexão Delta G, totalizando 187.610 bezerros puros e cruzas, nascidos no período de 1989 a 1999 em vários estados do Brasil. Os modelos estatísticos utilizados nas análises consideraram os efeitos fixos de grupo contemporâneo, idade do bezerro (regressão quadrática), idade da vaca (regressão polinomial quadrática-quadrática com nó aos 7 anos), data juliana de nascimento (regressão polinomial quadrática-quadrática-quadrática com nós aos 165 e 260 dias para GND, 150 e 240 dias para C, 165 e 270 dias para P e 155 e 260 dias para M) e heterozigoses materna e individual (regressões lineares). Todos os efeitos considerados no modelo influenciaram de forma significativa o GND e os escores de C, P e M. Os valores estimados de heterose materna e individual foram, respectivamente, 8,9% e 9,9% para GND, 10,0% e 6,6% para C, 8,5% e 4,8 % para P e 10,9% e 5,0% para M.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.374
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0020.001
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 head0.017
GPT teacher head0.259
Teacher spread0.242 · 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; both teacher heads agree on what is shown here.

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

Citations27
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueRevista Brasileira de ZootecniaSame topicGenetic and phenotypic traits in livestockFrench-language works237,207