Risposta agronomica di differenti tipologie di colza invernale (Brassica napus L. var. oleifera) alla concimazione azotata.
Bibliographic record
Abstract
Il colza e una specie oleaginosa che negli areali italiani non ha mai avuto una diffusione e una posizione di rilievo all'interno degli ordinamenti colturali anche a causa del conservatorismo di molti agricoltori e di qualche insuccesso ottenuto in seguito ad una cattiva gestione della coltura. Tali problemi si sono presentati poiche le conoscenze agronomiche relative alla tecnica colturale risultavano essere molto diversificate al variare dell'areale di coltivazione. Per questi motivi, con il progredire del miglioramento genetico della specie, si sono resi necessari studi approfonditi al fine di fornire una caratterizzazione agronomica della coltura dedicando sforzi maggiori ad un aspetto della tecnica agronomica: la concimazione azotata. _____________________________________________________________________________ Winter oilseedrape is an oilcrop that is not very diffused on Italian fields, due to farmer conservatism and to some unlucky performances caused by inadequate knowledge of this crop is still limited and very variable with diversified agronomic conditions. For these reasons, with progress on genetic breeding, new studies on agronomic characterization of crop became necessary, in particular dealing with nitrogen fertilization.Nitrogen fertilization is from one point of view the crucial factor to significantly increase yields, from the other it represents a huge cost for farmers due to the high price but also in term of environmental impact, icreasing the emission of CO2 on the atmosphere.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".