MétaCan
Menu
Back to cohort
Record W2074144717 · doi:10.1029/2000gl012491

Recent change in organic carbon flux to Arctic Ocean deep basins: Evidence from acid volatile sulfide, manganese and rhenium discord in sediments

2001· article· en· W2074144717 on OpenAlexaff
Charles Gobeil, Bjørn Sundby, Robie W. Macdonald, J. N. Smith

Bibliographic record

VenueGeophysical Research Letters · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsBedford Institute of OceanographyFisheries and Oceans CanadaUniversité du Québec à RimouskiInstitut du Savoir Montfort
FundersDartmouth College
KeywordsAnoxic watersDiagenesisSedimentSulfideTotal organic carbonGeologyArcticOceanographyManganeseGeochemistryFlux (metallurgy)Climate changeEarth scienceEnvironmental scienceEnvironmental chemistryGeomorphologyChemistry

Abstract

fetched live from OpenAlex

Evidence of recent large‐scale change in redox conditions in Arctic Ocean basin sediments is found in profiles of solid phase acid volatile sulfide (AVS), Mn, and Re. AVS occurs at 2.5–5.5 cm in sediment cores collected from all major Arctic basins implying that presently there is a sufficient supply of organic carbon (OC) to deplete O2 and form sulfide. Re, which is mobile under oxic conditions but precipitates under suboxic or anoxic conditions, is not found enriched in the sediments suggesting that AVS is a recent product of enhanced OC fluxes. Estimated diffusion rates suggest that AVS production is recent and that a change from oxic to anoxic diagenesis has taken place within the past 50 y. The most likely origin for such widespread change is the ice climate, and we infer that reduction in ice cover over the past several decades has led to enhanced OC fluxes to the sea floor.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.297
Teacher spread0.257 · 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

Citations56
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueGeophysical Research LettersSame topicMethane Hydrates and Related PhenomenaFrench-language works237,207