Evidence map›Paper›PMID 40229467›Full record

ArticleScientific reports2025

Automatic detection and annotation of eastern Caribbean sperm whale codas.

Guy Gubnitsky, Yaly Mevorach, Shane Gero, David F Gruber, Roee Diamant

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Integrating cultural dimensions in sperm whale (Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Guy GubnitskyDepartment of Marine Technology, University of Haifa, 3498838, Haifa, Israel.
Yaly MevorachMorris Kahn Marine Research Station, Department of Marine Biology, University of Haifa, 3498838, Haifa, Israel.
Shane GeroDepartment of Biology, Carleton University, Ottawa, ON, K1S 5B6, Canada.
David F GruberBaruch College, City University of New York, New York, NY, 10010, USA.
Roee DiamantDepartment of Marine Technology, University of Haifa, 3498838, Haifa, Israel. roee.d@univ.haifa.ac.il.

Funding

European Union's Horizon Europe programme 101086340
6 · The paper itself

Abstract

A key technology for sperm whale (Physeter macrocephalus) monitoring is the identification of sperm whale communication signals, known as codas. In this paper we present the first automatic coda detector and annotator. The main innovation in our detector is graph-based clustering, which utilizes the expected similarity between the clicks that make up the coda. Results show detection and accurate annotation at low signal-to-noise ratios, separation between codas and echolocation clicks, and discrimination between codas from simultaneously emitting whales. Using this automatic annotator, insights into the characterization of sperm whale communication are presented. The results include new types of coda signals, analysis of the distribution of coda types among different whales and for different years, and evidence for synchronization between communicating whales in terms of coda type and coda transmission time. These results indicate a high degree of complexity in the communication system of this cetacean species. Source code and data for our system is publicly available.

Indexed as

EcholocationSperm WhaleVocalization, AnimalAnimalsCaribbean RegionSignal-To-Noise RatioAnimal languageCoda annotationDetection of codaEcholocation clicksGeneralized Gaussian mixture model (GGMM)Graph-based clusteringSperm whale vocalization

Identifiers

PMID40229467
PMCPMC11997145

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.