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Record W2054197501 · doi:10.1109/oceans.2014.7002987

The Seaformatics technology demonstration project

2014· article· en· W2054197501 on OpenAlex
Andrew Cook, Vlastimil Masek, Geoff Holden, Adam Press, Robert L. Boyd

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicEnvironmental Monitoring and Data Management
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsGeneral partnershipSoftware deploymentBayCruiseSeafloor spreadingAgency (philosophy)Instrumentation (computer programming)Systems engineeringComputer scienceEngineering managementEngineeringMarine engineeringOceanographyBusinessCivil engineeringGeologySoftware engineeringSociology

Abstract

fetched live from OpenAlex

Memorial University of Newfoundland has completed a project entitled the Ocean Network Seafloor Instrumentation (later renamed Seaformatics Project), which began in 2007 and was funded by the Atlantic Canada Opportunities Agency (ACOA) - Atlantic Innovation Fund (AIF) and a number of other organizations. The concept behind Seaformatics was to develop technologies to enable the long-term deployment of an array of seafloor-mounted ocean sensors. The prototype node - called a Seaformatics Pod - has been successfully tested in Memorial University's Marine Institute flume tank and was field tested in Conception Bay in 2012. The project team proposed to perform a long term trial in Placentia Bay in partnership with Husky Energy. The project will provide much-needed data on the reliability of the Seaformatics Pod platform and prove that the Seaformatics Pod is capable of delivering ocean sensor data for other applications of interest to industry users. For Memorial University, success will result in a Seaformatics Pod prototype that is market-ready, which will in turn better enable the University to commercialize the technology for the global marketplace. This paper describes the 2nd generation pod prototype in detail, gives an overview of the demonstration projects goals and presents the preliminary results of the field program.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.547
Threshold uncertainty score0.361

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 head0.009
GPT teacher head0.199
Teacher spread0.190 · 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