Influencia do Espacamento e Densidade de Semeadura na Cultura do Arroz sob Irrigacao por Aspersao (Pivo Central).
Bibliographic record
Abstract
Tendo como objetivo verificar os melhores espacamentos e densidades de semeadura para a cultivar Rio Paranaiba sob irrigacao por aspersao, foi conduzido o presente trabalho na regiao sudeste do Estado de Goias. O experimento foi instalado em 31/10/86, na Fazenda Canada, municipio de Jussara, GO. O delineamento experimental utilizado foi o de blocos ao acaso em esquema fatorial, com quatro repeticoes. Foram empregados 16 tratamentos, combinando-se espacamentos de 20, 35, 50 e 65 cm entre fileiras, com densidades de semeadura de 50, 75, 100 e 125 sementes por metro linear. Os resultados mostraram maior producao de graos de arroz quando se utilizou espaçamento menor, ou seja, 20 cm entre fileiras, independentemente das densidades de semeadura utilizadas. Não houve influencia dos tratamentos para peso de 100 graos.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; 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".