Statistical performance of some dispersion schemes for tracer experiment data at a nuclear power plant
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
This paper describes a Gaussian puff dispersion model making use of the Pasquill-Gifford (PG) and on-site dispersion schemes. It includes a module in which the dispersion parameters are directly related to the basic physical parameters describing the turbulent state of the atmospheric boundary layer (OML dispersion parameters). The calculated concentrations have been compared with measured values obtained in 12 dispersion tracer experiments conducted between 1979 and 1983 at the Whiteshell Laboratories (Canadian Nuclear Fuel Waste Management Program). The comparisons have been carried out using the statistical models BOOT and RESIDUAL and, based on the results, conclusions are drawn regarding the performance of the local-scale diffusion schemes.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it