NOTA TÉCNICA: ESTADO DE MANUTENÇÃO DE TRATORES AGRÍCOLAS DE LAVOURAS ARROZEIRAS DO SUL DO BRASIL
Bibliographic record
Abstract
O objetivo deste trabalho foi avaliar o estado de conservação e manutenção de tratores agrícolas de propriedades produtoras de arroz na fronteira oeste do Estado do Rio Grande do Sul. Para tal, foram avaliadas as condições mecânicas e de conservação de 71 tratores, em três municípios da principal região arrozeira do Brasil, totalizando uma área cultivada de 4.144 hectares. Foram avaliados parâmetros referentes ao motor e seus sistemas complementares, sistema de transmissão, rodados, painel, cabine e estado de conservação da lataria e pintura. Com base nos resultados, pode-se concluir que os tratores utilizados nas atividades vinculadas à lavoura arrozeira da região amostrada encontram-se em bom estado de conservação e manutenção, não obstante à severidade das operações desenvolvidas em todas as propriedades avaliadas.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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".