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Record W2187571860

Patterning in northern bottlenose whale (Hyperoodon ampullatus) click trains

2015· article· en· W2187571860 on OpenAlexafffundvenueabout
Hilary Moors‐Murphy

Bibliographic record

VenueCanadian acoustics · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsFisheries and Oceans Canada
FundersNatural Sciences and Engineering Research Council of CanadaDalhousie University
KeywordsWhaleBottlenose dolphinAcousticsGeologyBioacousticsGeographyOceanographyFisheryBiologyPhysics
DOInot available

Abstract

fetched live from OpenAlex

Northern bottlenose whales (Hyperoodon ampullatus ) are large toothed whales of the family Ziphiidae; the beaked whales. They are known to produce various types of click vocalizations including upswept pulses that occur at regular interclick intervals (ICI), buzz clicks that occur at high repetition rates, and more variable surface clicks that often occur in rapid succession with increasing or decreasing ICIs. During northern bottlenose whale focused field studies conducted in July and August 2006 in the Gully submarine canyon off Nova Scotia, Canada, acoustic recordings were collected using a two-element towed hydrophone array. Recordings were made during and/or shortly after northern bottlenose whales were observed at the surface. Examination of these recordings revealed northern bottlenose whale click trains occurring with unusual temporal patterns that have not previously been described. Most notably, several “doublet click trains” consisting of pairs of clicks with a typical ICI separated by longer ICIs (often more than three times the length of typical ICIs) were recorded on multiple days. This presentation will describe these atypical click trains in greater detail. Further research is required to determine the prevalence of these patterned click trains in the northern bottlenose vocal repertoire and their function. This study highlights that there is still much to learn about northern bottlenose whale vocal behavior.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.536
Threshold uncertainty score1.000

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)0.0010.001

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 head0.227
Teacher spread0.197 · 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 teacher head, not a consensus.

Study designObservational
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

Citations3
Published2015
Admission routes4
Has abstractyes

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