Bibliographic record
Abstract
Planetary-scale waves play an important role in determining the climate of the winter hemisphere. They are well known to be one of the dominant modes of coupling between the stratosphere and troposphere during winter because of their significant vertical propagation. A proper representation of the structure and propagation characteristics of planetary waves is required for the accurate modeling of the stratosphere-troposphere coupled system as well as for the climate system as a whole. Here we examine the impact of model configuration on planetary waves in Northern Hemisphere high winter (January, February and March). We focus on the impact of model lid height using a series of Canadian Middle Atmosphere Model (CMAM) simulations (high-lid model labeled HIGHC and two low-lid models with and without conservation of parameterized gravity wave momentum flux labeled LOWC and LOWN, respectively) that were previously analyzed by Shaw et al. (2009) and Shaw and Perlwitz (2010) along with the available IPCC CMIP5 AMIP simulations, which include low and high lid models. All of the models are
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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 | 0.001 | 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) | 0.009 | 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 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".