Comparative Diet Analysis Of Fish Species Commonly Consumed By Managed And Free-Ranging Bottlenose Dolphins (Tursiops Truncatus)
Bibliographic record
Abstract
Managed bottlenose dolphins (Tursiops truncatus) cared for by the Chicago Zoological Society’s Brookfield Zoo Seven Seas exhibit in Brookfield, Illinois, are fed primarily whole boney fish, a diet similar to that of free-ranging dolphins. However, the diets of the two dolphin populations differ in that managed dolphins are fed primarily frozen, stored, and thawed Canadian capelin (Mallotus villosus) and Atlantic herring (Clupea harengus) and free-ranging dolphins commonly consume a wide variety of live fish. Dolphins in Sarasota Bay, Florida, a coastal region where the Brookfield Zoo dolphins originated from, feed on numerous fish species, including pinfish (Lagodon rhomboides), pigfish (Orthopristis chrysoptera), toad fish (Opsanus beta) and striped mullet (Mugil cephalus), among many others. Considering that the nutrient composition of fish differs with species, marine location, season, and storage and handling methods, this is the first preliminary comparative analysis identifying nutrient variations in the fish commonly fed to one population of managed dolphins versus those consumed by a comparable population of free-ranging dolphins in one region of the world. The study results confirm differences particularly in dry matter content (range 19% capelin to 34% mullet), crude protein (range 53% pinfish to 69% capelin) , crude fat (range 11% pigfish to 22% herring), and individual minerals, across fish species. Future research is necessary to assess dolphin health in relation to diet nutrient composition by comparing clinical findings in either managed or free-ranging dolphins to the results of this diet analysis study.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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) | 0.001 | 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".