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Record W2608767650 · doi:10.1002/9781119421375.ch51

Ruminant and Swine Local Anesthetic and Analgesic Techniques

2015· other· en· W2608767650 on OpenAlexaff
Alexander Valverde, Melissa Sinclair

Bibliographic record

Venuenot available
Typeother
Languageen
FieldVeterinary
TopicVeterinary Pharmacology and Anesthesia
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsAnalgesicRuminantAnestheticAnesthesiaMedicineBiologyAgronomy

Abstract

fetched live from OpenAlex

In ruminant and swine practice, it is common to combine local anesthetics with restraint methods that may include physical and/or chemical means, to provide a cost-effective and humane alternative to general anesthesia. Local anesthetics can be infiltrated by perineural injection, infiltration at nerve endings in the skin or tissues, injection into the epidural or intrathecal space, and by injection into a peripheral vessel in combination with a tourniquet that prevents leakage into the systemic circulation. Blocks to anesthetize the flank are commonly performed in ruminants to permit intra-abdominal surgery. The abdomen, subcutaneous tissues, and skin of the abdomen can be desensitized by infiltration of local anesthetic to allow procedures such as correction of umbilical and abdominal wall hernias and a right paramedian abomasopexy to be performed. Most surgical procedures of the digit are performed in cattle using intravenous regional anesthesia (IVRA), a specific nerve block or simple infiltration of local anesthetic.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.004

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 head0.039
GPT teacher head0.328
Teacher spread0.289 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations14
Published2015
Admission routes1
Has abstractyes

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