Bemesting en bodemoverschotten van stikstof en fosfaat 1991-2014 : evaluatie Meststoffenwet 2016
Bibliographic record
Abstract
In het kader van de ex-post Evaluatie Meststoffenwet 2016 zijn de trends in het gebruik van meststoffen en de stikstof-en fosfaatoverschotten in beeld gebracht voor gespecialiseerde akkerbouwbedrijven, gespecialiseerde melkveebedrijven en overige bedrijven.Speciaal is aandacht besteed aan de ontwikkelingen sinds de invoering van het gebruiksnormenstelsel in 2006.In de periode 2006-2014 werd in geen van de sectoren een significante verandering in de totale stikstofgift geconstateerd.Het stikstofbodemoverschot nam op de akkerbouw-en melkveebedrijven trendmatig af met respectievelijk 1,9 en 2,7 kg N/ha per jaar.Op de overige bedrijven werd geen significante verandering van het bodemoverschot gevonden.De fosfaatbemesting nam op akkerbouw-, melkvee-en overige bedrijven met respectievelijk 2,3, 1,6 en 1,3 kg P2O5/ha per jaar af.Het fosfaatoverschot nam jaarlijks af met 2,9 kg P2O5/ha op akkerbouwbedrijven en 2,3 kg P2O5/ha op melkveebedrijven.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".