Validation au Québec d’équations pour prédire la valeur nutritive de la luzerne au champ avant la récolte
Bibliographic record
Abstract
Des équations précédemment développées prédisent la valeur nutritive de la luzerne ou de mélanges luzerne–graminée avant la récolte. Cette étude valide cinq de ces équations avec des échantillons de luzerne pure cultivée sous conditions québécoises. Ces équations de prédiction ont été évaluées en utilisant les statistiques associées aux régressions linéaires. Parmi les équations évaluées, celle du Wisconsin et de New York semblaient les plus appropriées. Cependant, la présence de biais limite leur utilisation. Le développement d’une équation québécoise devrait donc être considéré afin d’aider les producteurs à identifier le moment de récolte de toutes les cultures à base de luzerne.
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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 | 0.003 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; 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".