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Record W2984448239 · doi:10.5753/sbsi.2016.5951

Um Sistema de Informação para Melhoramento Genético de Caprinos e Ovinos

2016· article· pt· W2984448239 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnais do Simpósio Brasileiro de Sistemas de Informação (SBSI) · 2016
Typearticle
Languagept
FieldEnvironmental Science
TopicRural Development and Agriculture
Canadian institutionsCanada Health Infoway
Fundersnot available
KeywordsBiology

Abstract

fetched live from OpenAlex

Este trabalho descreve um sistema de informação para melhoramento genético de caprinos e ovinos, com o objetivo de maximizar o ganho de peso e minimizar o grau de parentesco do rebanho. O melhoramento genético foi desenvolvido com base na literatura da ciência animal e implementado a partir do uso de algoritmos de inteligência computacional. O sistema foi aplicado em um projeto piloto, com poucos animais, para avaliação dos resultados e, devido ao seu sucesso, está sendo usado em caráter experimental em um rebanho de uma instituição de ensino superior com cerca de 200 animais. A partir do seu uso é possível predizer os melhores casais para acasalar, de forma a potencializar o ganho de peso das futuras gerações, minimizando o grau de parentesco do rebanho.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.004
Open science0.0030.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.005

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 head0.018
GPT teacher head0.250
Teacher spread0.232 · 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