Cost Effectiveness of OvoControl G® for Managing Nuisance Canada Goose (Branta canadensis) Populations: A Comparison of Theory and Field Applications (Abstract only)
Bibliographic record
Abstract
OvoControl G® is a relatively new product that reduces the hatchability of Canada goose (Branta canadensis) eggs. However, little data is available on the cost of application. We present a model for estimating the cost of application of OvoControl G for managing nuisance Canada goose populations and compare that model to the cost and results of field-based 2 applications in Oregon. Our model showed that at low goose densities, fixed labor costs are responsible for a significant portion of the total cost. As goose densities increase, these fixed costs become equivalent to, and eventually less than, the costs associated with the purchase of the product. As we expected from the model, the cost of applying OvoControl is high compared to the actual reduction in reproduction. However, even with this apparently high cost, cooperators were pleased with the results. We also present several scenarios that managers may employ to further reduce the cost of application.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".