The plume model MODIS: integration in the Hydro–Quebec shell
Bibliographic record
Abstract
The comprehensive numerical model MODIS for the simulation of pollutant dispersion from a point source is integrated in the graphical shell of Hydro–Quebec. The shell has been developed by Hydro–Quebec to offer a valuable scheme for various applications of software products, which were originally conceived only for scientific purposes. MODIS, developed by the GKSS Research Centre Geesthacht and the Ontario Ministry of Environment, is a powerful simulation model, which calculates the behaviour of plumes in the lower atmosphere. The model was validated under a bilateral project in the framework of Canadian–German co–operation by using data of the EPRI Plume Model Validation Project. A further application of MODIS has been undertaken to determine the dispersion of gaseous mercury from a previous strong emission source located in the former German Democratic Republic.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.008 | 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 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".