Meerkosten biodiversiteitsmaatregelen voor melkvee- en akkerbouwbedrijven
Bibliographic record
Abstract
The aim of this study is to provide insight into the additional costs of biodiversity measures for dairyfarms and arable farms on the basis of an integral better score on indicators from the biodiversitymonitor. The costs for intensive dairy farms, extensive dairy farms and farms on peat are € 1.95,€ 2.18 and € 3.08 per 100 kg of milk respectively. Weighted over the three types of farms in the dairyfarming sector, the additional costs are € 2.21 per 100 kg of milk and € 417 per hectare. Theestimated additional costs for arable farms on clay with a cultivation plan with potatoes forconsumption or on sand with a cultivation plan with potatoes for starch are 324 and 185 per hectarerespectively. Both dairy farming and arable farming require a wide range of measures to achieve abetter score.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.035 | 0.007 |
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".