A safer net propelled device to capture wild turkey
Bibliographic record
Abstract
ABSTRACT We compared 2 net‐propelled devices to capture eastern wild turkeys ( Meleagris gallopavo silvestris ). One device, the rocket‐net, employs explosives for propulsion and is currently the most effective and widespread method used to capture this species. The second device, the net blaster, works with compressed air instead of explosives. During 2009–2012, we captured 344 wild turkeys using rocket‐nets ( n = 30 attempts) and net blasters ( n = 15 attempts). Both devices had a similar capture success rate; but malfunctioning was twice as common with the rocket‐net as with the net blaster, as was the rate of injuries to captured wild turkeys. However, rocket‐nets did not have a higher rate of capture‐related mortality. The net blaster was more difficult to handle, more expensive, and did not work when temperatures were below −20°C. Overall the net blaster proved to be more efficient capturing wild turkeys and was safer than the rocket‐net. © 2014 The Wildlife Society.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".