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Record W2044374307 · doi:10.1029/1999gl007002

Spatial and temporal dynamics of colored dissolved organic matter in the north water polynya

2000· article· en· W2044374307 on OpenAlexaff
Norman M. Scully, William L. Miller

Bibliographic record

VenueGeophysical Research Letters · 2000
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal ecosystems
Canadian institutionsDalhousie University
Fundersnot available
KeywordsColored dissolved organic matterEnvironmental scienceArcticOceanographySea iceDissolved organic carbonWater columnEcosystemArctic ice packClimatologySurface waterGeologyPhytoplanktonEcologyNutrient

Abstract

fetched live from OpenAlex

The spatial and temporal dynamics of colored dissolved organic matter (CDOM) were examined during the North Water polynya study from April to July 1998. Few data have been collected pertaining to the dynamics of CDOM in Arctic marine ecosystems and none during the progression of an Arctic polynya. Unlike in other marine ecosystems, ultraviolet absorption by CDOM was highest near the surface of the water column and increased in concert with the development of the polynya. Analysis of ice core samples revealed that sea‐ice may be a significant source of CDOM and indicated that Arctic marine ecosystems have different controls of CDOM production and loss than do low latitude, open ocean systems. We hypothesize that the frequent surface CDOM maxima in Arctic ecosystems is the result of sea‐ice providing a substrate for enhanced autochthonous formation of CDOM.

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)0.001
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 score0.120
Threshold uncertainty score0.238

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.012
GPT teacher head0.225
Teacher spread0.214 · 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

Citations27
Published2000
Admission routes1
Has abstractyes

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