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Record W2775003516

A Historical Perspective On Experimental Acoustic Processing Systems At DRDC Atlantic

2017· article· en· W2775003516 on OpenAlexaffvenueabout
John C. Osler, Sean Pecknold, Gary Inglis, Mark A. Stoddard

Bibliographic record

VenueCanadian acoustics · 2017
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicUnderwater Acoustics Research
Canadian institutionsDefence Research and Development Canada
Fundersnot available
KeywordsSonarSubmarinePerspective (graphical)UnderwaterUnderwater acousticsMarine mammals and sonarEngineeringUnderwater acoustic communicationOceanographyAeronauticsMarine engineeringTelecommunicationsAcousticsComputer scienceGeologyArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

L'une des applications les plus anciennes de l'acoustique sous-marine consiste à la détection de sous-marins.Le Centre de recherches de l'Atlantique de Recherche et développement pour la défense Canada (RDDC Atlantique) mène, depuis 75 ans, les recherches canadiennes dans le domaine de la lutte anti-sous-marine (ASM) et du sonar.Une partie de cette recherche, toujours en cours au Centre de recherches de l'Atlantique, est dédiée au développement et la mise en œuvre de systèmes de traitement en acoustique maritime.

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)0.007
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.958
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0020.007
Scholarly communication0.0070.005
Open science0.0020.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0150.004

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 head0.038
GPT teacher head0.275
Teacher spread0.237 · 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 designQualitative
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

Citations0
Published2017
Admission routes3
Has abstractyes

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