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Record W2066820268 · doi:10.1029/2007gl029638

An Antarctic ice‐related “superbloom” observed with the MERIS satellite imager

2007· article· en· W2066820268 on OpenAlexaff
Jim Gower, Stephanie King

Bibliographic record

VenueGeophysical Research Letters · 2007
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal ecosystems
Canadian institutionsFisheries and Oceans Canada
Fundersnot available
KeywordsImaging spectrometerSatelliteRemote sensingGeologySnowSea iceEnvironmental scienceOceanographySpectrometerGeomorphologyPhysicsAstronomyOptics

Abstract

fetched live from OpenAlex

MERIS (Medium Resolution Imaging Spectrometer) satellite imagery for early March 2006 shows streaks and patches of what appears to be an intense plankton bloom among broken ice off Ronne Entrance, Antarctica, near 73 S, 83 W. The streaks are 2 to 10 km wide and up to 100 km long, extending across open water between land and the ice edge. We interpret these streaks as an example of a previously reported type of “superbloom,” in which very high surface concentrations of chlorophyll occur in water containing ice platelets. Spectral bands of the MERIS satellite imager in the visible and near‐infrared allow computation of an index suitable for detection of surface blooms containing high concentrations of chlorophyll, especially blooms associated with high‐scattering from suspended sediment or ice. The images presented here suggest a new way in which MERIS images can contribute to the study of primary productivity in polar regions.

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 score0.007
Threshold uncertainty score0.014

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)0.0020.000

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 head0.029
GPT teacher head0.263
Teacher spread0.235 · 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

Citations24
Published2007
Admission routes1
Has abstractyes

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