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Record W1523736385

TRIAXYS Next Wave II Directional Wave Sensor The evolution of wave measurements

2013· article· en· W1523736385 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.

Bibliographic record

Venue2013 OCEANS - San Diego · 2013
Typearticle
Languageen
FieldEngineering
TopicGeophysics and Sensor Technology
Canadian institutionsAXYS Technologies (Canada)
Fundersnot available
KeywordsAcousticsDisplacement (psychology)Surface waveComputer scienceEngineeringElectrical engineeringRemote sensingTelecommunicationsGeologyPhysics
DOInot available

Abstract

fetched live from OpenAlex

The TRIAXYS™ Directional Wave Sensor, manufactured by AXYS Technologies Inc. (AXYS), has been a leading technology for directional wave measurements since its inception in the late 1990's. Product improvements have been made over the years related to the onboard micro-processor, but the technology surrounding the acquisition of raw motion data for analysis of vertical displacement, and north and east velocities in six degrees of freedom has not changed, until now. The latest release of the sensor, the TRIAXYS Next Wave II Directional Wave Sensor, will utilize a new inertial sensor to capture the raw motion data for wave analysis using the same techniques that have made the sensor a world leading technology. The sensor will carry additional features including a smaller size, lower power requirements, and improved ranges and accuracies.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.682
Threshold uncertainty score0.709

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)0.0010.000

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 head0.030
GPT teacher head0.197
Teacher spread0.167 · 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