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Record W2120429645 · doi:10.1080/01431160600821010

Validation of chlorophyll fluorescence derived from MERIS on the west coast of Canada

2007· article· en· W2120429645 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Remote Sensing · 2007
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal ecosystems
Canadian institutionsFisheries and Oceans Canada
FundersUniversity of WashingtonCanadian Space AgencyNational Oceanic and Atmospheric AdministrationUniversity of British ColumbiaFisheries and Oceans CanadaSan Francisco State University
KeywordsRadianceRemote sensingEnvironmental scienceChlorophyll aBuoySatelliteChlorophyllChlorophyll fluorescenceAbsorption (acoustics)FluorescenceAtmosphere (unit)ChemistryGeologyPhysicsMeteorologyOceanographyOpticsAstronomy

Abstract

fetched live from OpenAlex

MERIS on Envisat provides images of above‐atmosphere spectral radiance in 15 bands of the baseline spectral band‐set. This set includes three bands centered at 665, 681 and 709 nm, placed to measure the fluorescence emission from chlorophyll a in marine and fresh water phytoplankton at 685 nm, stimulated by ambient sun and sky light. We compare the observed fluorescence signal levels with measurements of extracted chlorophyll from research cruises and buoy data during 2002 and 2003, and with satellite estimates of chlorophyll from the blue to green ratio observed by MERIS. We present an average relation between fluorescence and surface chlorophyll concentration based on a simple model accounting for absorption of stimulating and emitted radiation by chlorophyll pigments, which gives a first‐order fit to the observations.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.926
Threshold uncertainty score0.506

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.011
GPT teacher head0.205
Teacher spread0.194 · 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