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Record W3010486165

Achieving humane outcomes in killing livestock by free bullet I: Penetrating brain injury.

2019· article· en· W3010486165 on OpenAlexaff
Terry L Whiting, Dennis Will

Bibliographic record

VenuePubMed · 2019
Typearticle
Languageen
FieldMedicine
TopicTraumatic Ocular and Foreign Body Injuries
Canadian institutionsResearch Manitoba
Fundersnot available
KeywordsRifleAmmunitionForensic engineeringHumanitiesEngineeringHistoryPhilosophyArchaeologyMechanical engineering
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.719

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.248
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2019
Admission routes1
Has abstractyes

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