Habitat selection and diet of the Asian small-clawed otter in Karlapat Wildlife Sanctuary, Odisha, India
Bibliographic record
Abstract
Conservation of habitats and flagship species, such as the Asian small-clawed otter, is one of the most effective ways to conserve aquatic biodiversity. The study was conducted at Karlapat wildlife sanctuary, Odisha, India, and aims to determine the habitat and diet preferences of Asian small-clawed otters. Presence-absence of Asian small-clawed otters and associated habitat variables were recorded along 1-km sections of streams and rivers. We used principal component analysis (PCA) and logistic regression to examine habitat variables influencing otter presence along streams and rivers. Diet analysis of Asian small-clawed otters was conducted to calculate the percent frequency of occurrence and score-bulk estimate of each food item in the study area. We found that the presence of Asian small-clawed otters was related to denser canopy, higher shrub cover, and rocky stretches. A logistic regression model showed that Asian small-clawed otters significantly selected for higher canopy cover. Crabs were found to be the most preferred food item (>80%) in the diet of Asian small-clawed otters. These findings shed light on the regional-scale habitat selection and diet of Asian small-clawed otters and indicate important species-habitat relationships, thus providing valuable information for conservation management and land-use planning.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".