Dissolved inorganic carbon (DIC), total alkalinity (TA), nutrients, dissolved oxygen, water temperature, salinity and other measurements collected from discrete samples and profile observations during the R/V Dana Davis Strait Observing System cruise 2372 (EXPOCODE 26D420200830) in Davis Strait, Baffin Bay, Labrador Sea, North Pacific Ocean from 2020-08-30 to 2020-09-14 (NCEI Accession 0291293)
Bibliographic record
Abstract
Oceanographic sampling of physical, chemical, and biological parameters was conducted along selected fixed sections in Davis Strait, Baffin Bay, Labrador Sea, North Atlantic Ocean at full water depths during the R/V Dana Davis Strait Observing System (DSOS) cruise (EXPOCODE 26D420200830) from 2020-08-30 to 2020-09-14. The cruise is part of DSOS's long-term, high-frequency repeat program. CTD casts were performed at all stations, and discrete water samples were collected in Niskin bottles using the CTD/Rosette system. It was designed to investigate Arctic-North Atlantic interactions, including the variability and trend of freshwater, heat, carbon, oxygen, and nutrient fluxes, as well as ecosystem responses to climate change. This effort was conducted in support of the NSF (OPP1902595) and Fisheries and Oceans, Canada (OFSI).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".