Raming van luchtemissies uit de landbouw tot 2030, met doorkijk naar 2040 : Achtergronddocument veehouderij en akkerbouw bij de Klimaat- en Energieverkenning 2022
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In the context of the Climate and Energy Outlook 2022 (KEV2022), projections for process emissions of greenhouse gases and air polluting compounds from agriculture (animal husbandry and arable farming) were made with the National Emission Model for Agriculture (NEMA). Based on expected developments, emissions to air from enteric fermentation, manure management and agricultural soils were calculated. Respective emissions of methane, nitrous oxide, carbon dioxide from calcareous fertilizers and urea, ammonia, nitrogen oxide, particulate matter and non-methane volatile organic compounds are determined for 2025 and 2030, with a look through towards 2035 and 2040.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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 it