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Record W2090324803 · doi:10.1117/12.615511

Optical measurements of backscatter and absorption for characterizing water column structure and spatial pattern of coastal ocean color

2005· article· en· W2090324803 on OpenAlexaboutno aff
Leon M. Delwiche, Miles Logsdon

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2005
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal ecosystems
Canadian institutionsnot available
FundersBureau of ReclamationWashington State University
KeywordsColored dissolved organic matterOcean colorBackscatter (email)Environmental scienceOceanographyWater columnParticulatesSatelliteBiosphereUpwellingEstuaryRemote sensingGeologyPhytoplanktonEcologyNutrient

Abstract

fetched live from OpenAlex

The global significance of the coastal waters off the west coast of Vancouver Island British Columbia was formally recognized by the United Nations' Man and the Biosphere (MAB) program on May, 5, 2000 by the creation of the Clayoquot Sound Biosphere Reserve. The marine coastal ecosystem of this reserve totals approximately 84,242 hectares. The inherent optical properties of these waters were measured during a fifteen day, 21 station cruise in the summer of 2004 and were synchronized with the daily MODIS Aqua satellite over flights. The depth of maximum backscatter were compared to the ratio of absorption of particulate and color dissolved organic matter (CDOM) and related to remotely sensed estimates of Chl-a. The relationships of these parameters are compared between stations within the Clayoquot Sound and off the coast. This investigation highlights the contribution of the functional proportion of particulate and CDOM in over estimates of Chl-a from satellite remote sensing. The spatial correlation of this functional relationship is however linked to observed patterns of coastal ocean color.

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 score0.010
Threshold uncertainty score0.020

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)0.0010.000

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 head0.011
GPT teacher head0.196
Teacher spread0.185 · 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
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE→Same topicMarine and coastal ecosystems→French-language works237,207→