OCORRÊNCIA DE CONTUSÕES E PERDAS ECONÔMICAS DE CARCAÇAS BOVINAS ABATIDAS EM ABATEDOURO-FRIGORÍFICO COM SERVIÇO DE INSPEÇÃO VETERINÁRIA NO ESTADO DE RORAIMA
Bibliographic record
Abstract
23,5%) e grau III (7,6%).As leses foram mais comuns no coxo (45,8%), lombo (37,6%), gradil costal (9,7%) e dianteiro (6,9%).Embora no tenha sido possvel calcular os prejuzos econmicos diretamente, leses em carcaas causam perdas significativas tanto para produtores quanto para frigorficos.A concluso aponta para falhas no manejo do bem-estar animal durante o embarque, transporte e desembarque, sugerindo a necessidade de melhorias nos programas de bem-estar animal para reduzir prejuzos econmicos e melhorar a qualidade da carne, consolidando a cadeia produtiva brasileira no mercado mundial.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".