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Record W6964589367 · doi:10.25921/1p3c-b750

Dissolved inorganic carbon (DIC), total alkalinity, water temperature, salinity and other hydrographic and chemical data collected from discrete samples and profile observations during the CCGS Amundsen AN1902, 2019 ArcticNet cruise Leg 2 (EXPOCODE 18DL20190530) in the Baffin Bay, Davis Strait, Northwestern Passages (eastern Canadian Arctic) from 2019-07-05 to 2019-08-15 (NCEI Accession 0290861)

2024· dataset· en· W6964589367 on OpenAlexaffabout

Bibliographic record

VenueNational Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI) · 2024
Typedataset
Languageen
FieldAgricultural and Biological Sciences
TopicForest Ecology and Biodiversity Studies
Canadian institutionsUniversité LavalUniversity of CalgaryFisheries and Oceans CanadaBedford Institute of OceanographyUniversity of Manitoba
Fundersnot available
KeywordsSeawaterHydrographySalinityBiogeochemical cycleTotal inorganic carbonCruiseBiogeochemistryDissolved organic carbon

Abstract

fetched live from OpenAlex

This dataset contains seawater biogeochemical measurements of the inorganic carbon system (dissolved inorganic carbon and total alkalinity), stable oxygen isotope ratios of seawater (𝛿18O), salinity measured on a benchtop salinometer, nutrient concentrations (silicate, phosphate, nitrate, nitrite, and ammonium), as well as CTD measurements (salinity, temperature, pressure), and oxygen concentration measurements from a probe (SBE-43). The measurements were collected during Leg 2 of the 2019 research cruise of the CCGS Amundsen throughout Baffin Bay, Lancaster Sound, and Nares Strait (eastern Canadian Arctic).

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)0.002
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: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.740
Threshold uncertainty score0.517

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.006
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.012

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 head0.226
Teacher spread0.205 · 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

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