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Record W2110821748 · doi:10.1109/baltic.2008.4625496

Major advances in cabled ocean observatories (VENUS and NEPTUNE Canada) in coastal and deep sea settings

2008· article· en· W2110821748 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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Computational Techniques and Applications
Canadian institutionsUniversity of Victoria
FundersDivision of Ocean SciencesU.S. NavyNational Research Council CanadaCanarie
KeywordsNeptuneObservatoryOceanographyVenusOcean observationsDeep seaRemote sensingUnderwaterGeologyAstrobiologyEnvironmental scienceMeteorologyPlanetGeography

Abstract

fetched live from OpenAlex

VENUS (Victoria Experimental Network Under The Sea) is an advanced multi-node cabled ocean observatory now operational in the coastal ocean and NEPTUNE Canada (North-East Pacific Undersea Networked Experiments) is deploying into the deep ocean with on an 800 km loop with high power delivery. The abundant power, high bandwidth communications and hundreds of sensors delivering data in real or near real time will offer a new approach to acquisition of knowledge and interpretation of the ocean environment. Coupled with a powerful data repository and delivery system, ocean researchers have a powerful tool to explore ocean conditions. The development of cabled observatory technology is crucial given the current crises facing the ocean environment.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score0.986

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 head0.008
GPT teacher head0.226
Teacher spread0.217 · 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