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Record W1583501350

A remotely-piloted acoustic array for studying sperm whale vocal behaviour

2006· article· en· W1583501350 on OpenAlex
Tyler M. Schulz, Hal Whitehead, Luke Rendell

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.

Bibliographic record

VenueCanadian acoustics · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsDalhousie University
Fundersnot available
KeywordsHydrophoneAcousticsMicrophone arraySound (geography)BioacousticsSperm whaleGeologyEngineeringSound pressurePhysicsMicrophoneBiology
DOInot available

Abstract

fetched live from OpenAlex

The vocal behavior of sperm whales was investigated using a remotely-piloted acoustic array. Acoustic array consisting of remotely-piloted vessels (RPVs) and hydrophones was deployed from a stationary 12-m sailboat and positioned as to form a favorable array geometry around a group of sperm whales. Two metal pipes were suspended from a wood plank with a distance of 1.5 m between them and hung over the sides of dinghy. The dinghy was rowed through the array and a hammer was used to strike the pipes to generate impulsive sound sources of different frequencies. Using time-of-arrival-differences (TOADs) between hydrophones, the position of GPS receivers, and the speed of sound in water, the location of a detected sound was calculated. It was observed that the hydrophone of RPV offered accurate estimate of the sound source's location. Result shows that the acoustic array offer an accuracy of 0.5 m within the array for differentiating the coda vocalizations exchanged between sperm whales.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.583
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)0.0010.000

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 head0.227
Teacher spread0.207 · 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