Twenty Seasons of Airborne Hail Suppression In Alberta, Canada
Bibliographic record
Abstract
After a catastrophic late-season hailstorm hit the Calgary, Alberta, metropolitan area in September 1991, causing about half a billion dollars (Canadian) in damage, the property and casualty insurance industry began actively seeking ways to actively mitigate hail damage. After nearly four years of intensive study and intra-industry negotiation, the Alberta Severe Weather Management Society (ASWMS) was born. The ASWMS was and is comprised of representatives of all the insurance companies making up >90% market share in southern Alberta, and through levies based on their market share, annually fund an airborne cloud seeding program having the exclusive purpose of reducing damaging hailfalls in metropolitan areas, the Alberta Hail Suppression Project (AHSP). Beginning in 1996, this program has become an annual endeavor conducted from June through mid-September. This paper summarizes the current structure and operations of the AHSP, and through radar data compares seeded and unseeded storms that occurred on 21 July 2015, one of the most active days of the 2015 storm season.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".