North Atlantic Right Whale (Eubalaena glacialis) Detection & Localization in the Bay of Fundy using Widely Spaced, Bottom Mounted Sensors
Bibliographic record
Abstract
A data set consisting of North Atlantic right whale (Eubalaena glacialis) vocalizations were provided as part of the 2003 International Workshop on Detection and Localization of Marine Mammals using Passive Acoustics in Halifax, Nova Scotia. These vocalizations were processed using a set of detection and localization algorithms developed as part of the Marine Mammal Monitoring on Navy Ranges (M3R) program. Localization is performed using hyperbolic multilateration on Time Difference of Arrival (TDOA) data from a two stage FFT based energy detector. Binary FFTs are computed from the raw time series by thresholding the FFT using a time average in each bin as the threshold criteria. Clicks are detected by comparing the total number of bins above threshold to a secondary threshold. Detected clicks are split out of the data stream and the rest of the data is aligned using a spectrogram cross-correlation. Details of the marine mammal monitoring algorithms will be presented as well as results from the data set.)
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".