Skin disorders in free-ranging Chilean dolphins (Cephalorhynchus eutropia) from Biobío, Chile
Bibliographic record
Abstract
Skin disorders reports in cetaceans are increasing worldwide and may reflect individual or population health. This study describes the occurrence and distribution of skin disorders in Chilean dolphins Cephalorhynchus eutropia from Gulf of Arauco, Chile, based on photographic records collected during a summer 2024 expedition. A total of 685 photos were reviewed, with 39 meeting quality criteria and 16 showing identifiable skin lesions. Of the 37 dolphins photo-identified, 17 (45.95%) presented lesions. Tattoo skin disease (TSD) was diagnosed in 29.73% of individuals, with one animal showing signs of healing. Pale skin patches (PSP) and orange hues were also observed, with a prevalence of 10.81% and 5.41%, respectively. Lesions were primarily located on the thorax and lumbar regions and varied in size. This is the first report of TSD in Chilean dolphins from the Gulf of Arauco. Although the aetiology of PSP and orange hues remains uncertain, they may be associated with environmental factors such as salinity and diatom colonization. Given the conservation category of this endemic species, continuous monitoring of skin conditions and environmental parameters is recommended to understand the health implications and design conservation strategies.
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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 | 0.001 | 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".