INCLUSÃO DE JITIRANA NA COMPOSIÇÃO QUÍMICOBROMATOLÓGICA DE SILAGEM DE SORGO
Bibliographic record
Abstract
Este ensaio foi realizado no Departamento de Ciências Animal da Escola Superior de Agricultura de Mossoró- RN, com o objetivo de avaliar os efeitos da inclusão de níveis crescentes de forragem de jitirana (Merremia aegyptia L.), no valor nutritivo da silagem de sorgo (Sorghum bicolor L). O delineamento experimental usado foi o inteiramente casualizado com seis tratamentos e três repetições. Os tratamentos consistiram de silagens de sorgo, contendo 0,10,20,30,40 e 50% de forragem de jitirana com base na matéria verde. O material permaneceu ensilado por 65 dias em silos experimentais de sacos plásticos. Determinaram-se os teores de matéria seca (MS), proteína bruta (PB), resíduo mineral (RM), extrato etéreo (EE) e energia bruta (Kcal/kg). A inclusão de níveis crescentes de jitirana na silagem do sorgo melhorou o valor nutritivo desta silagem, produzindo ganhos em proteína, extrato etéreo, energia bruto, porém diminuição nos teores de matéria seca.
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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 | 0.000 | 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".