Forcing mechanisms of heat content variations in the Yellow Sea
Bibliographic record
Abstract
Forcing mechanisms of heat content variations in the Yellow Sea (YS) are studied through analysis of a hindcast simulator for 1958–2007 using a two–way nested global—Northwest Pacific model. During the cooling season (September to February of next year), changes in heat content integrated over the YS are primarily caused by variations in latent and sensible heat fluxes at surface, which can be further related to variations of the East Asian Winter Monsoon and the Arctic Oscillation. The lateral heat transport by the Yellow Sea Warm Current (YSWC) contributes to heat content variation in the deep region. Variation of the YSWC can be related to wind variation over the YS. During the warming season (March to August), variation in the changes of heat content in the upper layer is primarily caused by variation in shortwave radiation at surface, which can be related to variation in the atmospheric pressure system of the Western Pacific Subtropical High that influences the YS in summer.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".