M oooii-93 ~C- O 2./-J Abstract submitted to AGU Ocean Science Meeting San Diego, CA February 12-16,1996 Upper Ocean Observations Across an Arctic Transect
Bibliographic record
Abstract
The ability to identify and quantify seasonal and interannual temperature and salinity variations in the Arctic Ocean is critical to detecting warming trends, understanding circulation, and observing water mass movements. The SCICEX tests are currently addressing these issues. One phase of the SCICEX-95 test, conducted during April of 1995, allowed for a Transarctic snapshot of the upper water column. The transect lasted for eight days and extended approximately 1400 nm over the Arctic Ocean central basin, from near Pt. Barrow Alaska (72.05°N,-149.88°W) to Franz Josef Land (85.33°N, 51.3°E). Sixty-eight submarine launched, under ice, expendable conductivity, temperature, and depth (SSXCTD) probes were deployed at the rate of one probe approximately every 20 nm. The shallow (40 m) mixed layer at the westernmost end of the track, between the Canada Abyssal Plain and the Northwind Ridge, displayed the warmest, least saline surface water. Below this layer, the halocline layer exhibited a dramatic 3.0 psu salinity gradient over 35 m depth.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.391 | 0.208 |
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".