Influence of trawling on the behaviour and spatial distribution of Indo-Pacific bottlenose dolphins (<i>Tursiops aduncus</i>) in Moreton Bay, Australia
Bibliographic record
Abstract
Sympatric communities of inshore Indo-Pacific bottlenose dolphins (Tursiops aduncus) have previously been identified within Moreton Bay, southeast Queensland, Australia. The two communities overlap in distribution, yet are almost completely socially segregated and forage in distinctly different ways. The correlation between this social segregation, the different foraging strategies, and a human activity (trawling) has previously been demonstrated. This paper investigates the possible effects of trawling on the behaviour and spatial distribution of these two communities. A geographical information system is used to determine the spatial use of each community. The behavioural budgets of both communities showed significantly higher levels of foraging behaviours than reported for most other bottlenose dolphin communities. The spatial use of both communities changed seasonally. These results provide further detail on how human activities may indirectly influence the behaviour and spatial use of free-ranging marine wildlife.
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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 | 0.000 | 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".