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Record W6964706915 · doi:10.25921/72yb-5626

Dissolved inorganic carbon (DIC), partial pressure of CO2 (pCO2), chlorofluorocarbons (CFC-12), sulfur hexafluoride (SF6), nutrients, dissolved oxygen, temperature, salinity and other measurements collected from discrete samples and profile observations during the CCGS Cartier Fisheries and Oceans Canada Atlantic Zone Offshore Monitoring Program (AZOMP) cruise (EXPOCODE 18QL20230524) in the North Atlantic Ocean and Labrador Sea from 2023-05-24 to 2023-06-12 (NCEI Accession 0302739)

2025· dataset· en· W6964706915 on OpenAlexaffabout

Bibliographic record

VenueNational Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI) · 2025
Typedataset
Languageen
FieldAgricultural and Biological Sciences
TopicForest Ecology and Biodiversity Studies
Canadian institutionsBedford Institute of Oceanography
Fundersnot available
KeywordsAlkalinitySalinityDissolved organic carbonCarbon dioxideTotal inorganic carbonPartial pressureSeawaterWater column

Abstract

fetched live from OpenAlex

This dataset consists of dissolved inorganic carbon (DIC), partial pressure of CO2 (pCO2), chlorofluorocarbons (CFC-12), sulfur hexafluoride (SF6), nutrients, dissolved oxygen, temperature, salinity and other measurements collected from discrete samples and profile observations during the CCGS Cartier Fisheries and Oceans Canada Atlantic Zone Offshore Monitoring Program (AZOMP) cruise (EXPOCODE 18QL20230524) in the North Atlantic Ocean and Labrador Sea from 2023-05-24 to 2023-06-12. The sampling consists at a minimum of a vertical profile of the entire water column (temperature; salinity; dissolved oxygen); rosette bottle casts at selected depths (dissolved oxygen and nutrients; alkalinity and carbonate; chlorofluorocarbon (CFC) and biological parameters) as well as plankton net tows; additional upper ocean temperature and ocean currents profiles and moored measurements of near-bottom temperature and currents.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.630
Threshold uncertainty score0.736

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.006
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.004

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.

Opus teacher head0.021
GPT teacher head0.216
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

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