Cost-effectiveness of Philippine butterfly species used in live exhibits: an assessment of longevity, encounter rate and behaviour
Bibliographic record
Abstract
The importation of pupae represents a major cost for live butterfly exhibitors. Because captive butterfly species differ in life history characteristics, they should also differ in their value to exhibitors. Ten species of Philippine butterflies were inijtorted to Wings of Paradise Butterfly Conservatory. Butterflies were marked upon emergence as adults and were then released into the conserv'ator)'. Recaptures occurred three times daily, two to five times per week, from mid jtily to September, 2006. Using maximum likelihood estimation, we determined mean species longevity, encounter rate and behaviour suitability for nine of the ten butterfly species. All species demonstrated time-and age-independent survival rates. Species were found to differ significantly in longevity, encounter rate and behaviour suitability under exhibit conditions. Using the data and methodology of this study, exhibitors may select species to im|tort based itpon their relative cost-effectiveness and performatice value.
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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 | 0.010 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".