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Record W6907163415 · doi:10.18739/a24j09z7k

Continuous seawater isotopic (δ18O, δD, and d-excess) observations from 2021 Arctic cruise on United States Coast Guard Cutter Healy

2022· dataset· en· W6907163415 on OpenAlexaboutno aff

Bibliographic record

VenueUC Santa Barbara · 2022
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCruiseCoast guardArcticTransectSeawaterWater mass

Abstract

fetched live from OpenAlex

The dataset presented here includes isotopic measurements (δ18O, δD, and deuterium excess) of seawater to assess contributions of freshwater and identify different ocean water masses during a 2021 Arctic cruise on board the United States Coast Guard Cutter (USCGC) Healy. The cruise (HLY21TD, HLY2101) began in Seward, Alaska, sailed north around Alaska, through the Northwest Passage and into Baffin Bay, and performed numerous transects of Baffin Bay, the Labrador Sea, and along the Greenland coast. The isotopic measurements are made continuously (29 Aug – 10 Oct) on seawater sampled through the underway along the cruise track. These measurements can be used to identify and quantify sources of freshwater and partition different ocean water masses in order to help better understand changing ocean water composition and circulation.

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 score0.217
Threshold uncertainty score0.431

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.014

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 head0.027
GPT teacher head0.264
Teacher spread0.236 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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