Um Sistema de Informação para Melhoramento Genético de Caprinos e Ovinos
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".