Surface underway pH, water temperature, salinity, dissolved oxygen, chlorophyll and discrete analyses of dissolved inorganic carbon and total alkalinity from the underway TSG collected during the RRS Discovery fall 2023 oceanographic survey cruise (EXPOCODE 32V320231006) in the North Atlantic Ocean and Labrador Sea from 2023-10-06 to 2023-10-26 (NCEI Accession 0299020)
Bibliographic record
Abstract
This dataset includes underway sensor measurements collected during the RRS Discovery Fisheries and Oceans Canada (DFO) Atlantic Zone Monitoring Program (AZMP) cruise (EXPOCODE 32V320231006) in the North Atlantic Ocean and Labrador Sea from 2023-10-06 to 2023-10-26. These data include water temperature, salinity, dissolved oxygen, and chlorophyll a fluorescence. In addition, daily sampling for measurement of DIC and TA were conducted. Oceanographic sampling of physical, biological, and chemical parameters is performed annually along selected fixed sections as part of the AZMP. The full sampling program consists at a minimum of a vertical profile of the entire water column (temperature; salinity; dissolved oxygen); rosette bottle casts at selected depths (nutrients; DIC and TA; and other biological parameters) as well as plankton net tows.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 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 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.036 |
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".