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Record W4283022630 · doi:10.5818/jhms-d-21-00018

Survey of Feeding Practices and Supplement Use in Pet Inland Bearded Dragons (Pogona vitticeps) of the United States and Canada

2022· article· en· W4283022630 on OpenAlexaffabout
Trinita Barboza, Sarah K. Abood, Hugues Beaufrère

Bibliographic record

VenueJournal of Herpetological Medicine and Surgery · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Utilization and Effects
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsBiologyAchetaZoologyCricket

Abstract

fetched live from OpenAlex

Abstract Nutrition is an important aspect of inland bearded dragon (Pogona vitticeps) health, and improper diet is thought to be a predisposing factor for many health disorders. The objective of this study was to survey owners of bearded dragons to learn more about their feeding practices and supplement use. Self-selecting bearded dragon owners were invited to participate in the survey if they were >18 yr of age or had guardian consent and resided in Canada or the United States. A survey titled “Nutritional Survey of Bearded Dragon Dietary Habits in North America” was available online following research ethics board approval from the University of Guelph, Canada. In total, 405 responses representing subadult and adult bearded dragons were evaluated. The most common diet offered consisted of 1–25% larval and adult insects (each) and 51–75% plant material. Approximately one half of the survey participants, especially the younger respondents, were feeding diets with <50% plant material and >50% insects. Berries were the most common plant material offered, superworms (Zophobas morio) and hornworms (Manduca sexta) were the most common larval insects offered, and house crickets (Acheta domesticus) were the most common adult insects offered. Insects were commonly dusted with calcium, vitamin D3, and multivitamins, but plant material was not dusted. These results highlighted the requirment for the development of clear nutritional guidelines outlining the type, quantity, and frequency of food items and supplements offered and the requirement of further investigations to determine the ideal diet for this common pet lizard.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.137
Threshold uncertainty score0.276

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.072
GPT teacher head0.271
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2022
Admission routes2
Has abstractyes

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