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Record W1669242325

FLH AND MCI PRODUCTS FROM MERIS: FLUORESCENCE, RED TIDES, SARGASSUM AND BLOOMS IN ICE

2006· article· en· W1669242325 on OpenAlexaboutno aff
Jim Gower, Stephanie King

Bibliographic record

VenueESASP · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal ecosystems
Canadian institutionsnot available
Fundersnot available
KeywordsRadianceSargassumAlgaeBloomOceanographyEnvironmental scienceRemote sensingChlorophyll aFluorescenceSea iceGeologyBiologyBotanyPhysicsOptics
DOInot available

Abstract

fetched live from OpenAlex

The fluorescence signal from MERIS is found to correlate well with surface chlorophyll measured by ships and by the MERIS level 2 processing. In both cases the saturating relation that we proposed previously is confirmed. Use of the fluorescence signal to detect regional fluorescence efficiency variations suggests that such variations are relatively small, at least on the Canadian west coast. The search for intense plankton blooms which can be detected using the peak in the spectrum of water-leaving radiance at about 705 nm has led to a variety of bloom events detected round the world. Observations in the Gulf of Mexico led to the chance detection of Sargassum lines extending over large areas, and observations in Antarctica suggest detection of ice coloured by significant concentrations of algae. The bloom detections and the new observations Sargassum and algae in ice confirm the importance of the 709 nm band of MERIS.

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 score0.020
Threshold uncertainty score0.040

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.005
GPT teacher head0.160
Teacher spread0.155 · 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

Citations1
Published2006
Admission routes1
Has abstractyes

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