Partial pressure (or fugacity) of carbon dioxide, dissolved inorganic carbon, pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the KNORR in the Caribbean Sea and North Atlantic Ocean from 1996-11-02 to 1997-09-03 (NCEI Accession 0115005)
Bibliographic record
Abstract
This dataset includes chemical, discrete sample, physical and profile data collected from KNORR in the Caribbean Sea and North Atlantic Ocean from 1996-11-02 to 1997-09-03 and retrieved during cruise WOCE_A20, WOCE_A22, WOCE_A24 and WOCE_AR24. These data include ALKALINITY, CHLOROFLUOROCARBON-11 (CFC-11), CHLOROFLUOROCARBON-113 (CFC-113), CHLOROFLUOROCARBON-12 (CFC-12), DELTA CARBON-13, DELTA CARBON-14, DELTA HELIUM-3, DISSOLVED INORGANIC CARBON, DISSOLVED OXYGEN, HELIUM, HYDROSTATIC PRESSURE, NEON, NITRATE, NITRITE, PHOSPHATE, Partial pressure (or fugacity) of carbon dioxide, Potential temperature (theta), SALINITY, SILICATE, Tritium (Hydrogen isotope), WATER TEMPERATURE and pH. The instruments used to collect these data include CTD and bottle. These data were collected by Kenneth M. Johnson of Brookhaven National Laboratory (BNL), Douglas W. R. Wallace of Dalhousie University; Institute of Oceanography, Taro Takahashi of Lamont-Doherty Earth Observatory (LDEO), and Frank J. Millero of Rosenstiel School of Marine and Atmospheric Science (RSMAS) as part of the WOCE_A20, WOCE_A22, WOCE_A24 and WOCE_AR24 dataset. The World Ocean Circulation Experiment (WOCE) was a major component of the World Climate Research Program with the overall goal of better understanding the ocean's role in climate and climatic changes resulting from both natural and anthropogenic causes. The CO2 survey took advantage of the sampling opportunities provided by the WOCE Hydrographic Program (WHP) cruises during this period between 1990 and 1998. The final collection covers approximately 23,000 stations from 94 WOCE cruises.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".