Female nile hippopotamus (<i>Hippopotamus amphibius</i>) space use in a naturalistic exhibit
Bibliographic record
Abstract
Zoological institutions provide naturalistic exhibits for their animals in order to offer a more appealing look for visitors and give the animal the opportunity to engage in more natural behaviors. Examining space use of the animals in the naturalistic exhibit may aid in the management of these animals and inform future naturalistic exhibit design. The hippopotamus is an amphibious ungulate that spends much of its days in the wild in the water but may be found along the banks of the rivers basking in the sun. Our objective was to determine how captive female hippos utilize their exhibit by examining whether hippos selected for certain areas of a naturalistic exhibit. Scan sample data were collected on a group of nine captive female hippos housed at Disney's Animal Kingdom®. Using ArcView, the data were analyzed to determine distribution of hippos in the exhibit and their utilization of depth categories while in the water. Hippos were found to aggregate in preferred areas of the exhibit, mostly water, and selected most for water depths of 0.6-1.0 m. These results will aid in the understanding of hippopotamus space use and may aid zoological institutions in the design of naturalistic exhibits for hippos.
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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 | 0.001 |
| 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".