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Record W6908535288 · doi:10.25921/d5d2-qq30

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)

2021· dataset· en· W6908535288 on OpenAlexaffabout

Bibliographic record

VenueNational Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI) · 2021
Typedataset
Languageen
FieldArts and Humanities
TopicClassical Studies and Legal History
Canadian institutionsFisheries and Oceans CanadaBedford Institute of Oceanography
Fundersnot available
KeywordsAlkalinityDissolved organic carbonTotal inorganic carbonBiogeochemical cycleCarbon dioxideColored dissolved organic matterHydrographyOcean acidificationTotal organic carbonParticulates

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.348
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.023
GPT teacher head0.241
Teacher spread0.218 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueNational Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI)Same topicClassical Studies and Legal HistoryFrench-language works237,207