IMAGE: An Integrated Model for the Assessment of the\n Greenhouse Effect
Bibliographic record
Abstract
In dit rapport wordt beschreven hoe het RIVM-simulatiemodel IMAGE (an Integrated Model for the Assessment of the Greenhouse Effect) is opgebouwd. Het model beoogt een geintegreerd overzicht te geven van de broeikasproblematiek alsmede inzicht te verschaffen in de wezenlijke drijfveren van het probleem. Met het model uitgevoerde simulaties tonen het belang aan van andere sporegassen dan CO2. Tevens wordt aangetoond dat het Montreal Protocol inzake de beperking van de uitstoot van CFC's van belang is teneinde de relatieve bijdrage van CFC's aan het broeikaseffect te stabiliseren. Een verdere reductie van CFC's door verdere aanscherping van het Protocol is met betrekking tot de broeikasproblematiek effectief.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".