Characteristics and formation of precipitation over the Kananaskis Emergency Site during March and April 2015
Bibliographic record
Abstract
A field campaign was conducted in March and April 2015 in the Kananaskis Valley of Alberta to investigate the formation and characteristics of ice crystals and solid precipitation particles in the lee of the Rocky Mountains. This thesis examines data from 11 storms producing mainly light precipitation within generally sub-saturated surface and near-surface conditions. Instruments utilized include soundings, radar images, and surface observations, but the focus is on the analysis of 1,183 microphotographic images of precipitation particles. The particles (diameters up to 24 mm) were placed into 12 categories with rimed irregular snow particles being most common. Unrimed and rimed particles were commonly (14% of images) observed simultaneously and 62% of particles were rimed. Rimed, dense particles were less likely to sublimate before reaching the surface in the dry sub-cloud region that was at least partially a result of the air aloft being directed mainly towards the east and ‘downslope’.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".