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Record W1624413182 · doi:10.1029/2003gl019212

The role of midlatitude storms on air‐sea exchange of CO<sub>2</sub>

2004· article· en· W1624413182 on OpenAlexaff
William Perrie, Weiqing Zhang, Xuejuan Ren, Zhenxia Long, J. E. Hare

Bibliographic record

VenueGeophysical Research Letters · 2004
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicTropical and Extratropical Cyclones Research
Canadian institutionsBedford Institute of OceanographyFisheries and Oceans CanadaDalhousie University
Fundersnot available
KeywordsMiddle latitudesFugacityStormEnvironmental scienceUpwellingClimatologyAtmospheric sciencesSea surface temperatureOceanographyStorm surgeGeologyChemistry

Abstract

fetched live from OpenAlex

Hurricanes influence the local rates of air‐sea CO 2 exchange. Changes in fCO 2w , the fugacity of CO 2 in bulk water, result from storm‐induced sea surface temperature (SST) changes and from upwelling. Using numerical studies and comparing recent formulations for the gas transfer velocity k L , we discuss the impact of Hurricane Gustav (2002) on fCO 2w and air‐sea CO 2 exchange. We show that Gustav resulted in enhanced CO 2 flux, with the maximum occurring at the storm's peak intensity.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.727
Threshold uncertainty score0.973

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.022
GPT teacher head0.274
Teacher spread0.251 · 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.

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

Citations27
Published2004
Admission routes1
Has abstractyes

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