THE DEVELOPMENT OF A PUFF DISPERSION MODEL FOR USE IN MODELLING SHORT TERM ACCIDENTAL RELEASES, BASED ON THE ADMS 4 MODEL: ADMS-STAR2
Bibliographic record
Abstract
To help enable the United Kingdom Food Standards Agency to protect the food chain in the event of an accidental atmospheric release, it has funded the development of a puff dispersion model, called ADMS-STAR2, based on the existing ADMS 4. The ADMS-STAR2 model can be run using a range of input parameters or defaults within the model, dependant on the information available following a release.Meteorological inputs include basic surface derived observational data or full 3-D spatially and temporally varying NWP data.Thermal and explosive releases penetrating the boundary layer can be modelled.The use of FLOWSTAR within ADMS-STAR2 allows consideration of complex terrain effects, with deposition responsive to spatially varying surface roughness.Output options include isopleth display on ArcGIS of total ground deposition.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".