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Record W2610530619

Polar Epsilon MODIS and Fused MODIS / RADARSAT MetOc Products for National Defence and Domestic Security

2006· article· en· W2610530619 on OpenAlexaboutno aff
P.W. Vachon, Brian Whitehouse, Wayne Renaud, Roger De Abreu, D Billard

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicOil Spill Detection and Mitigation
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental scienceProduct (mathematics)Scale (ratio)MeteorologyRemote sensingSatelliteNational securityGeographyEngineeringCartography
DOInot available

Abstract

fetched live from OpenAlex

Abstract : In preparation for Polar Epsilon's MODIS and RADARSAT satellite reception systems, this project investigates meteorology and oceanography (MetOc) products derived from MODIS data for defence, search and rescue and environmental security operations. It also investigates whether operational improvements can be gained through production of fused MODIS/RADARSAT products, but in both cases the emphasis is on detection of oceanographic parameters and features. This assessment is based on interaction with representatives of federal operational MetOc, search and rescue, ice and oil spill monitoring centres and synthesis of unclassified literature as a means to obtain (i) an up-to-date presentation of Canada's maritime rapid environmental assessment requirements and (ii) MODIS R&D recommendations for DRDC Ottawa. This information is used to develop a Canadian Forces strategy for MODIS product development, including identification of certain critical operational linkages. DRDC Ottawa's emerging RADARSAT fine-scale wind product is identified as a critical component of this strategy as is the need for a co-ordinated defence, search and rescue and environmental security operational MetOc data access and distribution system.

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 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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.580
Threshold uncertainty score0.317

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 head0.007
GPT teacher head0.215
Teacher spread0.208 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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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