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Record W2032076428 · doi:10.1029/2009gl041158

Evidence for significant photochemical production of carbon monoxide by particles in coastal and oligotrophic marine waters

2009· article· en· W2032076428 on OpenAlexaff
Huixiang Xie, Oliver C. Zafiriou

Bibliographic record

VenueGeophysical Research Letters · 2009
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal ecosystems
Canadian institutionsUniversité du Québec à Rimouski
Fundersnot available
KeywordsColored dissolved organic matterParticulatesSeawaterBiogeochemical cycleEnvironmental chemistryDissolved organic carbonEnvironmental scienceCarbon monoxidePhotic zoneOceanographyChemistryPhytoplanktonGeology

Abstract

fetched live from OpenAlex

Carbon monoxide (CO) photoproduction from particulate and chromophoric dissolved organic matter (CDOM) was determined in seawater from open‐ocean and coastal areas. In confirmatory tests, poisoned or non‐poisoned filtered and unfiltered blue‐water samples, were exposed to sunlight. CO photoproduction was 21–42% higher in the unfiltered than in the filtered samples. In a more thorough study utilizing concentrated particles prepared by 0.2‐μm cross‐flow filtration, samples containing varying levels of particles were irradiated under simulated solar radiation. Their CO photoproduction rates increased linearly with particle concentration factor. Particulate CO production was 11–35% of CDOM‐based CO production. On an absorbed‐photons basis, the former was 30–108% more efficient than the latter. This study suggests that in both coastal and blue waters these new‐found particulate photoprocesses are of similar biogeochemical importance to the well‐known CDOM photoproduction term.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.043
GPT teacher head0.281
Teacher spread0.238 · 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

Citations62
Published2009
Admission routes1
Has abstractyes

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