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Record W4396532624 · doi:10.1111/mms.13135

A preliminary description of Atlantic white‐sided dolphin (<i>Lagenorhynchus acutus</i>) vocalizations

2024· article· en· W4396532624 on OpenAlexaboutno aff
Susannah Calderan, Oliver Boisseau, Claire Lacey, Russell Leaper, Nienke van Geel, Denise Risch

Bibliographic record

VenueMarine Mammal Science · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsnot available
FundersRoyal Society of Edinburgh
KeywordsCetaceaSound productionBiologyFisheryGeographyZoologyAcoustics

Abstract

fetched live from OpenAlex

Royal Society of EdinburghAtlantic white-sided dolphins (Lagenorhynchus acutus) are endemic to the North Atlantic Ocean, predominantly inhabiting the cold-temperate and subpolar waters around the continental shelf and slope.Their geographic range extends from the western North Atlantic across to the eastern North Atlantic, and includes the Norwegian and North Seas, but their distribution patterns are not well-understood (Cipriano, 2018;Vollmer et al., 2019).There is a relatively high occurrence of mass strandings by this species, and it is also impacted by anthropogenic threats such as bycatch in a variety of gear types, including trawls and gill nets (Addink et al., 1997;Bogomolni et al., 2010;Couperus, 1997;Kinze et al., 1997;Palka et al., 1997).Additionally, Atlantic white-sided dolphins are hunted, primarily in the Faroe Islands, where, for example, 1,428 individuals were killed in a single drive hunt in 2021 (https:// nammco.no/topics/atlantic-white-sided-dolphin/;Calderan, 2021; Fielding, 2021).They are thus one of the most heavily exploited cetacean species in the North Atlantic, yet also one of the most poorly-understood.Passive acoustic monitoring (PAM) has the potential to contribute to knowledge on their occurrence, but there is only limited information on white-sided dolphin vocalizations (Cones et al., 2023;Hamran, 2014).It is therefore not currently possible to analyze the many data sets collected from acoustic moorings and towed array surveys to improve knowledge of the species' temporal and spatial distribution.Most dolphin species produce tonal and pulsed vocalizations, including whistles, echolocation clicks, and burst pulses.Echolocation clicks are typically associated with foraging and navigation, and whistles and burst pulses with social communication (Au, 1993;Herzing, 1996).Whistles are frequency-modulated tonal sounds (Herman & Tavolga, 1980).Echolocation clicks are short-duration, directional clicks (Au, 1993); burst pulses also comprise clicks, where broadband pulsed signals with significant ultrasonic frequency components are produced with a very high

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.036
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0360.012

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 head0.017
GPT teacher head0.238
Teacher spread0.221 · 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 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
Published2024
Admission routes1
Has abstractyes

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