Cartographie numérique de la capacité maximale de sorption du phosphore des sols à l’échelle de la parcelle agricole à l'aide de variables auxiliaires
Bibliographic record
Abstract
Quenum, M., Nolin, M. C. et Bernier, M. 2012. Cartographie numerique de la capacite maximale de sorption du phosphore des sols a l’echelle de la parcelle agricole a l'aide de variables auxiliaires. Can. J. Soil Sci. 92: 733–750. La gestion modulee des engrais a base de P en fonction de la variabilite spatiale de la capacite maximale de sorption du phosphore (CMSP) des sols propose des solutions pour reduire la contamination des eaux de surface par le P a l’echelle de la parcelle agricole. Les objectifs de l’etude sont 1) caracteriser et interpreter en termes de strategie d’echantillonnage des sols l'intensite de la variation et la structure d'organisation spatiale de trois indicateurs de la CMSP, soit les teneurs en aluminium et fer extraits au Mehlich-3 ou a l'oxalate d'ammonium (AlM3, AlM3+FeM3 et Alox+Feox) et 2) evaluer l'utilite de variables auxiliaires (modele numerique d’elevation, image IKONOS ou conductivite electrique apparente (CEA) des sols mesuree a l'aide du VERIS 3100 ou du Geonics EM-38) a...
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.010 | 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 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".