Current Status and Future Direction of the Oklahoma Weather Modification Program
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
The primary focus of the Oklahoma Weather Modification Program is to suppress hail and augment rainfall. Initiated in the fall of 1996, the demonstration program is patterned after similar successful efforts underway in Kansas, North Dakota, Texas and Alberta, Canada. In 1997 and 1998, the statewide program incorporated an independent evaluation to measure results, although no randomized cloud seeding operations were conducted. Results of the evaluation are promising. Prompted, in part, by the need for additional resources to implement the program at the desired capacity, the State Legislature passed legistation in 1999 to create a cooperative, long-term funding mechanism between state and the Oklahoma’s insurance industry. Potential interstate cooperation with weather modification efforts in Texas and Kansas bode well for the continuation and future growth of the program.
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 | 0.000 | 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) | 0.000 | 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 it