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Record W2086324817 · doi:10.1109/oceanse.2007.4302351

First results from shipboard atmospheric O2 and CO2 measurements over the North Atlantic Ocean

2007· article· en· W2086324817 on OpenAlexaboutno aff
Michael Patecki, Andrew C. Manning

Bibliographic record

VenueOCEANS 2007 - Europe · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsCruiseRemote sensingOceanographyGeology

Abstract

fetched live from OpenAlex

High precision atmospheric oxygen (O2) measurements are a relatively new and powerful tool for studying the global carbon cycle. Despite the development of several techniques for achieving these measurements over the past two decades, the quantification of small changes (ppm-level) in the background concentration of O2(21%) still remains very challenging. We have built a measuring system capable of detecting ppm-level changes in atmospheric O2that is suitable for continuous, automated, shipboard use. We tested this system under field conditions on a research cruise in the North Atlantic Ocean between Newfoundland and Iceland in summer 2006, collecting the first-ever atmospheric O2measurements over the Atlantic Ocean. We present these data, showing changes in atmospheric O2and CO2concentrations that are a result of changing air mass or water mass origins which incorporate influences from land/marine biospheric processes, ocean mixing, and temperature-induced solubility changes.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.141
Threshold uncertainty score0.280

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.194
Teacher spread0.182 · 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 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

Citations14
Published2007
Admission routes1
Has abstractyes

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