A Protocol for Evaluating Cost-Effectiveness of Butterflies in Live Exhibits
Bibliographic record
Abstract
Butterfly species used for live exhibition differ in life span, encounter rate, behavior, and cost. By knowing which species are more cost-effective, exhibitors can customize their butterfly imports and purchase butterfly species that provide the best return on their investment. We used mark-recapture techniques to estimate mean life span and encounter rates for 39 butterfly species commonly purchased by exhibitors. In addition, the behavior of 29 species was quantified and characterized as suitable versus unsuitable by direct observation. The data were combined to calculate 1) the total number of days of suitable performance to be expected from a species, and 2) the cost per individual per day based on the number of expected suitable days. The most cost-effective butterfly relative to others in this study was Heliconius hecale F. (total suitable days, 33.4; cost per day, $0.05); the least cost-effective species was Doleschallia bisaltide Cramer (total suitable days, 0.1; cost per day, $13.15). By using this protocol, exhibitors can selectively incorporate more cost-effective species, save money on imports, and improve the visual appeal of their live exhibits.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
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".