Atlantic Ocean water mass fraction estimates based on GLODAPv2 Atlantic database (NCEI Accession 0225455)
Bibliographic record
Abstract
This dataset contains estimates of water mass contributions to the GLODAPv2 Atlantic data. The major water masses in the Atlantic Ocean were characteristics as Source Water Types (SWTs) from their formation areas and map out their distributions. The SWTs are described by six properties taken from the biased adjusted data product GLODAPv2, including both conservative (Temperature and Absolute Salinity) and non-conservative (oxygen, silicate, phosphate and nitrate) properties. The distributions of the water masses are estimated by using the Optimum Multi-parameter (OMP) model and the data are contained in the file that has the same length and order as the GLODAPv2 Atlantic data file. The following water masses were considered: Antarctic Intermediate Water (AAIW), Subarctic Intermediate Water (SAIW) and Mediterranean Water (MW), North Atlantic Deep Water (NADW, divided into its upper and lower components), Labrador Sea Water (LSW), Iceland-Scotland Overflow Water (ISOW), Denmark Strait Overflow Water (DSOW), Antarctic Bottom Water (AABW), North East Atlantic Bottom Water (NEABW), Circumpolar Deep Water (CDW), and Weddell Sea Bottom Water (WSBW).
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.040 | 0.039 |
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".