Dissolved inorganic carbon (DIC), total alkalinity (TA), partial pressure of carbon dioxide (pCO2) and other hydrographic biogeochemical measurements collected from discrete samples and profiling sensors during the Atlantic Zone Monitoring Program cruises in the Scotian Shelf, North Atlantic Ocean from 2014-09-19 to 2023-10-01 (NCEI Accession 0228686)
Bibliographic record
Abstract
This dataset includes dissolved inorganic carbon (DIC), total alkalinity and partial pressure of carbon dioxide (pCO2), nutrients, dissolved oxygen, particulate organic carbon and nitrogen (POC and PON), pigment concentrations from discrete water samples and colored dissolved organic matter (CDOM) from the profiling sensor. Data were collected during the Atlantic Zone Monitoring Program (AZMP). The AZMP was implemented in 1998 with the aim of increasing Fisheries and Oceans Canada's (DFO) capacity to understand and forecast the state of the marine ecosystem and to quantify the changes in the ocean physical, chemical and biological properties. Ocean acidification program was implemented across the AZMP in 2014 funded by the Aquatic Climate Change Adaption Services Program (ACCASP). This submission covers measurements conducted by BIO (the Maritime region, DFO) in the Scotian Shelf, encompassing from the Cabot Strait to the Gulf of Maine, during the period from 2014-09-19 to 2023-10-01.
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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 | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.027 |
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".