APROPOS SOIL MODELLING: A proposal for the \n Development of an Air-Soil Model to Predict the Environmental Behaviour of \n Pollutants in Local Terrestrial Situations. I. Problem Definition and \n General Outlines
Bibliographic record
Abstract
Binnen het raamproject "Beoordelingssysteem Nieuwe Stoffen", dat op het RIVM te Bilthoven wordt uitgevoerd, worden methoden ontwikkeld voor een systematische voorspelling en beoordeling van de risico's voor mens en milieu die verbonden zijn aan de produktie en het gebruik van zogenaamde "nieuwe stoffen". Een van de onderzoekingen richt zich op het ontwikkelen van een model dat toegepast kan worden voor het schatten van het gedrag en het lot van deze stoffen in bodems onder variabele locale en meteorologische omstandigheden. Dit (deel)project, "Locale Variaties" (projectnr. 958603), wordt in samenwerking met het Institute for Environmental Studies van de Universiteit van Toronto, Canada, uitgevoerd. Dit rapport is een verslag van het tweede bezoek aan dit instituut.
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.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".