Analysis on the Water Masses in the Arctic Ocean Based on the PHC3.0 Data Sets
Bibliographic record
Abstract
Based on the temperature and salinity data north of the 70°N from PHC3.0 data sets,the water masses in the Arctic ocean are analyzed using the cluster method and the bayes discrimination method.Four water masses are found in the Arctic ocean which are Arctic Surface water,Atlantic Intermediate water,Pacific water and Arctic deep water.Arctic Surface water spreads all over the surface of both Eurasian basin and the Canada basin,marked by lower temperature and lower salinity.Atlantic intermediate water mainly extends in the layer from about 200m to 900m,carried by the Arctic circumpolar boundary current it can spread over the Canadian basin.Affected by the water from the Pacific through the Bering Strait,Pacific water is relatively warmer and fresher,especially in summer.Arctic deep water is relatively uniform all over the basins with little seasonal variability.The salinity is about 34.95psu,while the temperature is about-0.3℃ in the Canada basin and-0.7℃ in the Eurasian basin.
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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 | 0.005 | 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 | 0.000 | 0.000 |
| Open science | 0.001 | 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".