Environmental conditions favouring ice pellet aggregation
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
Winter precipitation is an important issue in Canada because of its common occurrence and associated destructive consequences. Prediction of the precipitation type when temperatures are near 0°C is often difficult because so many types can occur. This study examines the microphysics of ice pellet formation, in particular the ability of these to form aggregates and the consequences of these aggregates. This issue was examined by modelling the freezing of a distribution of precipitation particles as they fall through the atmosphere and interact through collisions. Three mechanisms for aggregation were examined, collisions among the particles involved in these mechanisms were modelled and the relative importance of each mechanism was determined. It is shown that, for the conditions considered, aggregates are often able to collect freezing rain drops and that aggregation can sometimes be very effective at eliminating freezing rain but the conditions need to be precise for this to occur.
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) | 0.004 | 0.001 |
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