Modifying a mini drone for remote drug delivery for wildlife medicine
Bibliographic record
Abstract
Remote drug delivery is an essential tool for administering medication to wildlife. However, the conventional method, the dart gun, has limitations in terms of injection distance, posing risks for operators. This study aimed to modify a mini drone equipped with a dart syringe and delivery system for use with large wildlife. A commercial mini drone was modified to release a syringe dart using a vertical gravity-based delivery system. The performance of the drone and delivery system was evaluated based on accuracy to the target and penetration ability through pig skin. The evaluation compared a dart with or without a plastic shell, with tests conducted both indoors and outdoors. The results indicated that the higher the drone’s flight, the more the dart tended to deviate from the target. In outdoor tests, a syringe dart without a shell showed greater accuracy than a dart with a shell. Regarding penetration ability, only a dart without a shell had a 100% success rate at a maximum height of 5 m, with an overall statistical difference ( P = 0.01). In conclusion, this study represents the first scientific validation of using mini drones for remote drug injections that could be used in large wildlife medicine.
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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 | 0.000 | 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 | 0.000 |
| 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".