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Record W6927336588 · doi:10.25921/cskq-3806

Dissolved inorganic carbon, total alkalinity, pH, temperature, salinity, dissolved oxygen, macronutrients, particulate organic carbon and nitrogen, collected from vertical profiles and discrete samples observations during the CCGS Hudson Fisheries and Oceans Canada (DFO) Atlantic Zone Monitoring Program (AZMP) cruise (EXPOCODE 18HU20201110) in the North Atlantic Ocean and Labrador Sea from 2020-11-10 to 2020-12-01 (NCEI Accession 0296844)

2024· dataset· en· W6927336588 on OpenAlexaffabout

Bibliographic record

VenueNational Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI) · 2024
Typedataset
Languageen
FieldEnvironmental Science
TopicMexican Socioeconomic and Environmental Dynamics
Canadian institutionsFisheries and Oceans Canada
Fundersnot available
KeywordsDissolved organic carbonAlkalinityWater columnPelagic zonePlanktonOcean acidificationEcosystemMarine ecosystemAquatic ecosystem

Abstract

fetched live from OpenAlex

This dataset includes discrete sample and profile data collected during the CCGS Hudson Fisheries and Oceans Canada (DFO) Atlantic Zone Monitoring Program (AZMP) cruise (EXPOCODE 18HU20201110) in the North Atlantic Ocean and Labrador Sea from 2020-11-10 to 2020-12-01. These data include water temperature, salinity, dissolved oxygen, nutrients, dissolved inorganic carbon (DIC), total alkalinity (TA), pH, and other parameters. Oceanographic sampling of physical, biological, and chemical parameters is performed annually along selected fixed sections as part of the AZMP. 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 (nutrients; DIC and TA; and other biological parameters) as well as plankton net tows. The AZMP was implemented in 1998 with the aim of increasing DFO's capacity to understand, describe, and forecast the state of the marine ecosystem and to quantify the changes in the ocean physical, chemical, and biological properties. Ocean acidification is an emerging priority for DFO under the Aquatic Climate Change Adaption Services Program (ACCASP) and is developing the knowledge-based information necessary to support the development of adaptation tools and strategies and investing in science to better understand the specific consequences of a changing climate. Specifically, the effects of ocean acidification on ecosystems in the Northwest Atlantic and large aquatic basin risk assessments consider ocean acidification at the basin and sub-basin scale are being investigated.

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)0.001
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 score0.758
Threshold uncertainty score0.481

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.004

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 head0.009
GPT teacher head0.216
Teacher spread0.208 · 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
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueNational Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI)Same topicMexican Socioeconomic and Environmental DynamicsFrench-language works237,207