Recommendations and Action Plans to Improve Ex Situ Nutrition and Health of Marine Teleosts
Bibliographic record
Abstract
The International Workshop for Ex-Situ Marine Teleost Nutrition and Health, hosted by Disney's Animals, Science and Environment in conjunction with the Comparative Nutrition Society, brought together over 50 animal experts and scientists representing 20 institutions to review current science and identify challenges of marine teleost nutrition and health. Invited speakers presented critical information and current research topics for areas of emphasis and expertise. Subject matter experts identified knowledge gaps and primary areas of focus to guide the scientific community's research efforts to improve the care of ex situ marine teleosts. The clinical medicine working group highlighted standardized approaches to ante- and postmortem sample collection, diet biosecurity and supplementation, advanced diagnostic methods, and expanded training in fish nutrition. Nutrition identified the creation of a husbandry and feeding management manual, comprehensive feeding program review and design, and specialty feeder/life stage nutrition as areas of focus, while animal husbandry focused on body condition scoring, feed delivery techniques, and behavioral husbandry topics. The physiology and chemistry and water quality working groups discussed components of the aquatic environment and their effects on fish health, including organic matter constituents, microbial diversity, disinfection, and managing microbiota. Finally, we reviewed how epidemiological approaches and considerations can improve our evaluation of aquarium teleost nutrition and health. The goals outlined by each working group and supporting literature discussion are detailed in this communication and represent our goals for the next 3 to 5 years, with the ultimate objective of the workshop being the production of a husbandry manual for marine teleost nutrition and health. Any scientists who feel that their experience, research, or interests align with these goals are invited to participate by contacting the authors.
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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 | 0.026 | 0.035 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.004 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.007 | 0.007 |
| Research integrity | 0.019 | 0.013 |
| Insufficient payload (model declined to judge) | 0.041 | 0.012 |
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".