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Record W1533521096

Detection and localization of blue and fin whales from large-aperture autonomous hydrophone arrays: A case study from the St. Lawrence estuary

2008· article· en· W1533521096 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian acoustics · 2008
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicUnderwater Acoustics Research
Canadian institutionsFisheries and Oceans CanadaUniversité du Québec à Rimouski
Fundersnot available
KeywordsHydrophoneMultilaterationWhaleAcousticsChannel (broadcasting)FinAperture (computer memory)GeologyEstuaryRemote sensingMarine engineeringComputer scienceOceanographyEngineeringTelecommunicationsFisheryPhysics
DOInot available

Abstract

fetched live from OpenAlex

The feasibility of using passive acoustic methods (PAM) to monitor time-space distribution of fin and blue whales in the Saguenay-St.Lawrence Marine Park was explored using large-aperture sparse hydrophone arrays.The arrays were deployed during summers 2003 to 2005 at the head of the 300-m deep Laurentian Channel.They were composed of 5 AURAL autonomous hydrophones moored at mid-water depths, near the summer sound channel.A small coastal array complemented the deployment in 2003.The apertures were from 20 to 40 km and the configurations were changed from year to year.The most frequent calls recorded were blue and fin whale signature infrasounds.Noise from transiting ships on the busy St. Lawrence Seaway often masked the calls on the nearest hydrophones.Sometimes this resulted in an insufficient number of receivers for localizing the whales using time difference of arrival (TDoA) methods.The technical characteristics of the arrays and data processing are presented, with an example of call detection and localization.Despite the difficulties inherent to this environment, PAM can be effectively implemented there, eventually for real-time operations. r s u m La faisabilit d 'utiliser la technologie de monitorage acoustique passif (PAM) pour suivre la distribution spatio-temporelle des rorquals bleus et communs dans le Parc Marin Saguenay-Saint-Laurent a t explore l'aide de rseaux d 'hydrophones maille lche couvrant de grandes distances.Les rseaux ont t dploys pendant les ts 2003 2005 la tte du chenal Laurentien, profond de 300 m.Ils taient composs de 5 hydrophones autonomes AURAL mouills mi-profondeur, prs du couloir de son estival.Un petit rseau ctier de faible ouverture compltait le dploiement en 2003.Les ouvertures des rseaux taient de 20 40 km et leurs configurations taient changes chaque anne.Les vocalisations les plus frquentes taient les infrasons identitaires des rorquals bleus et communs.Le bruit de navires transitant dans la Voie Maritime achalande du Saint-Laurent masquait souvent les vocalisations sur les hydrophones les plus proches, ce qui parfois rsultait en un nombre insuffisant de rcepteurs pour localiser les baleines l'aide de mthodes utilisant les diffrences de temps d 'arrive (TDoA).Les caractristiques techniques des rseaux et du traitement des donnes sont prsentes avec un exemple de dtection et de localisation.Malgr les difficults inhrentes cet environnement, la technologie PAM peut y tre efficacement implmente, ventuellement pour des oprations en temps rel.

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 score0.701
Threshold uncertainty score0.447

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 head0.020
GPT teacher head0.215
Teacher spread0.195 · 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