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
A new hail suppression project was started in Alberta in 1996. Weather Modification Inc. (WMI) of Fargo, North Dakota was awarded a five year contract by the Alberta Severe Weather Management Society of Calgary, Alberta to conduct cloud seeding to reduce urban property damage from hail, particularly for the Calgary and Red Deer areas. The operational program runs from June 15th to September15th. This project is rather unique because it is funded entirely by private insurance companies with the sole intent to mitigate the damage of property by hail storms. The seeding program is based upon the hailstorm conceptual model, seeding methods, and storm forecasting techniques of the previous long-term hail research project conducted by the Alberta Research Council from the late 1960’s through 1985. In 1996, a C-band weather radar with computer recording and communications systems and three cloud seeding aircraft were dedicated to the project. The aircraft and radar crews provided 24 hr coverage, seven days a week throughout the period. The program has been welcomed by the local communities and has rekindled much interest in cloud seeding.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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) | 0.001 | 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 it