Étude de cas: un porcin dans un environnement sain
Bibliographic record
Abstract
RÉSUMÉNous considérons l'impact environnemental de la diète dans un système de production animale. L'approche classique en production animale consiste à utiliser un modèle de croissance basé sur l'établissement d'une diète à moindre coût. Cette diète optimale est gènèralement établie à l'aide d'un modèle de programmation linéaire. Cette approche peut conduire à des effets nuisibles sur l'environnement en engendrant des rejets excessifs d'azote et de phosphore. Pour tenir compte à la fois des aspects économique et environnemental nous suggtérons des modèles multicritères (deux et trois critères) qui permettent de mesurer l'impact financier de la réduction des rejets.Mots clés: Agriculturedièteporcprogrammation linéairemodèle multicritèrecoût économiqueenvironnementpollution
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".