Survival of juvenile Loggerhead Sea Turtles hooked by Atlantic Canadian pelagic longlines
Bibliographic record
Abstract
Estimating post-release survival is essential to understand how bycatch may impact sea turtle populations. Pelagic longline gear is the only documented source of anthropogenic harm and mortality to Loggerhead Sea Turtles in Atlantic Canadian waters. Mortality affecting juvenile Loggerhead Sea Turtles in Atlantic Canadian waters may ultimately translate to population-level impacts for the Loggerhead Sea Turtle population in the northwest Atlantic. Pop-up satellite archival tags (PSATs) were attached to 62 juvenile Loggerhead Sea Turtles incidentally hooked by Atlantic Canadian pelagic longline gear (2012–2018) to estimate associated post-release survival. Analysis of diving behaviour, ocean temperature, and ambient light level was used to assign fates to hooked Loggerhead Sea Turtles. Application of the Kaplan-Meier estimator with right censoring indicated that the annual probability of an individual hooked Loggerhead surviving post-release was 87.7%. There was no significant difference in probability of survival between shallow-hooked and deep-hooked Loggerhead Sea Turtles. PSATs are valuable tools to investigate post-release survival of a variety of marine animals, however, there are some limitations associated with tag performance and acquisition of tag data via satellite.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".