Precipitation transition regions over the Southern Canadian Cordillera under a warming climate
Bibliographic record
Abstract
The future occurrence of various types of winter precipitation is an important issue over the southern Canadian Cordillera. This thesis examined this issue from January to April of 2010 by exploiting a high-resolution dataset provided by the National Center for Atmospheric Research using the Weather Research and Forecasting (WRF) model Version 3.4.1 to simulate both a historical reanalysis (CTRL) and a Pseudo-Global Warming (PGW) experiment. Changes to the transition region were consequently investigated under a warmer and more moist climate (Liu et al. 2016). Accumulated precipitation within the transition region increased by 27%. The rise in the average elevation led to an eastward shift towards the higher terrain of the Rocky Mountains. Transition regions comprised of rain and snow were most common under both the CTRL and PGW, although the proportion of rain increased which would form weaker snowpacks with a higher risk of avalanching.
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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 | 0.002 |
| Science and technology studies | 0.002 | 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) | 0.002 | 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".