Horizontal and vertical movements and habitat use of the common thresher shark Alopias vulpinus in the western North Atlantic
Bibliographic record
Abstract
In the western North Atlantic (WNA), the common thresher shark Alopias vulpinus is captured by several fisheries, but its population status has not formally been assessed, and its ecology and population structure are poorly understood. A total of 61 pop-up satellite archival transmitting tags were deployed to study the species’ horizontal and vertical movement patterns and habitat use in the WNA and to inform the formulation of fishery management policy. Tracking data from 48 individuals ranging from 122 to 259 cm fork length revealed widespread horizontal movements throughout the WNA between northeastern Florida north and east to the Grand Banks of Newfoundland. Seasonal migrations across continental shelf and off-shelf habitats were identified in both juveniles and adults. Tagged common thresher sharks inhabited a wide temperature range in the WNA (-0.5 to 25.6°C), but spent ~90% of their time in waters between 14 and 20°C. Depth distribution ranged from the surface to 1822 m, with ~87% of time spent at depths shallower than 50 m. Deeper depths were achieved during the winter, spring, and fall than during the summer. These results will assist with the identification of important geographic locations of occurrence for both juvenile and adult common thresher sharks, help forecast the effects of environmental change on the species’ distribution, and inform the relevant spatial scales for fishery management policies and stock assessment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.000 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".