Achieving humane outcomes in killing livestock by free bullet I: Penetrating brain injury.
Bibliographic record
Abstract
Humane killing of farm animals by free bullet is a commonly used second-best option in emergency situations and disease control operations. Theoretical justification has been weak in experimental reports of firearm system use in the field. Veterinarians require an in-depth understanding of killing with free bullet to take corrective action when systems fail under field application. This review describes the technical considerations in choosing safe, effective firearm systems to effectively kill minimally restrained livestock at close range. Frequently referenced firearm/bullet recommendations are excessively powerful and unnecessarily hazardous. Based on ballistic energetic performance and mechanical design, the rifle chambered for low energy pistol ammunition, using non-toxic controlled expanding bullets, has the technical capability to deliver immediate insensibility and death at a distance of 5 m or less. At 1 m distance, the .410 shotgun with steel or porcelain shot meets the environmental safety, ballistic, and mechanical challenges and has workplace safety advantages over rifle-based systems.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".