We Go Signaling Into the Night: Describing an Echolocation Signal of an Unknown Beaked Whale (<i>Cetacea; Ziphiidae</i>) off West Africa
Bibliographic record
Abstract
ABSTRACT Beaked whales ( Cetacea; Ziphiidae ), one of the most diverse families of cetaceans, can be identified by species‐specific, frequency‐modulated echolocation signals. Of the 24 known species of beaked whales, over half have been assigned a unique signal type. A novel echolocation pulse belonging to an unknown beaked whale species was recorded off West Africa (Beaked Whale of West Africa, BWWA), along the coast of the Democratic Republic of São Tomé and Príncipe. Bottom‐mounted autonomous acoustic recorders (sampling rate of 375 kHz) were deployed from October 2018 to August 2019 (294 recording days) at depths of 450–600 m. An automated detector‐classifier created to identify BWWA (per file Precision of 1.00; Recall of 1.00)‐guided manual validation. BWWA was present in all recording months and detected during local nighttime hours (98% of detections occurred during fully dark periods). BWWA had a 52.5 kHz median peak frequency, 55.4 kHz center frequency, 29.0 kHz −10 dB bandwidth, 843 μs duration, and 86 ms inter‐pulse interval (IPI). While species identification remains unsolved for BWWA, spectral similarities to unidentified signals in the Pacific Ocean, BWC, and in the Gulf of Mexico, BWG, find that all three signals can be characterized by longer pulse durations and shorter IPIs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".