Partial pressure (or fugacity) of carbon dioxide, dissolved inorganic carbon, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the USCGC POLAR SEA in the North Greenland Sea from 1993-07-18 to 1993-08-20 (NCEI Accession 0114447)
Bibliographic record
Abstract
This dataset includes biological, chemical, discrete sample, physical and profile data collected from USCGC POLAR SEA in the North Greenland Sea from 1993-07-18 to 1993-08-20 and retrieved during cruise CARINA/32L919930718 and NEWP93. These data include AMMONIUM, BACTERIA - BACTERIAL DENSITY, CHLOROPHYLL A, DELTA CARBON-14, DELTA HELIUM-3, DISSOLVED INORGANIC CARBON, DISSOLVED OXYGEN, HELIUM, HYDROSTATIC PRESSURE, NITRATE, NITRITE, PARTICULATE ORGANIC CARBON, PARTICULATE ORGANIC NITROGEN, PHAEOPHYTIN, PHOSPHATE, Partial pressure (or fugacity) of carbon dioxide, Potential temperature (theta), SALINITY, SILICATE, Tritium (Hydrogen isotope) and WATER TEMPERATURE. The instruments used to collect these data include CTD and bottle. These data were collected by Craig Neill and Kenneth M. Johnson of Brookhaven National Laboratory (BNL), Douglas W. R. Wallace of Dalhousie University; Institute of Oceanography, Bernd Schneider of Max Planck Institute for Chemical Ecology, and Jody Deming of University of Washington as part of the CARINA/32L919930718 dataset. The CARINA (CARbon dioxide IN the Atlantic Ocean) data synthesis project is an international collaborative effort of the EU IP CARBOOCEAN, and U.S. partners. It has produced a merged internally consistent dataset of open ocean subsurface measurements for biogeochemical investigations, in particular, studies involving the carbon system. The original focus area was the North Atlantic Ocean, but over time the geographic extent expanded and CARINA now includes data from the entire Atlantic, the Arctic Ocean, and the Southern Ocean.
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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".