Detection Efficiency of Vemco Mobile Transceivers Deployed on Grey Seals (Halichoerus grypus) on the Scotian Shelf
Bibliographic record
Abstract
No abstracts are to be cited without prior reference to the author. Understanding the nature of inter-specific and conspecific interactions in the ocean is challenging because direct observation is usually impossible. The development of two-way coded Vemco Mobile Transceivers (VMT) and satellite-linked GPS tags provides a unique opportunity to elucidate between and within species interactions in space and time. In order to interpret interactions we must accurately define their locations, duration, and frequency, which requires accurate knowledge of tag performance. We evaluated VMT detection efficiency deployed on grey seals (Sable Island, NS, Canada) in response to environmental characteristics and seal behaviour. We used generalized additive modelling techniques (GAM) to compare expected detections calculated from the GPS data to those observed, and corroborated these findings using the raw ping data. Distance between seals, wind stress, and minimum depth were the most important predictors of detection success. However, other environmental characteristics postulated to affect sound propagation, including temperature and depth properties, were not important in the model.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.004 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.021 | 0.009 |
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; both teacher heads agree on what is shown here.
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".