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Efficacy of tilmicosin and tildipirosin for on-arrival treatment of bovine respiratory disease in fall-placed feedlot calves in western Canada

2013· article· en· W2988723999 on OpenAlexaboutno aff
Joyce Van Donkersgoed, J. K. Merrill

Bibliographic record

VenueThe Bovine Practitioner · 2013
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMicrobial infections and disease research
Canadian institutionsnot available
FundersElanco Animal Health
KeywordsTilmicosinBovine respiratory diseaseFeedlotMedicineAnimal scienceVeterinary medicineBiologyAntibioticsImmunology

Abstract

fetched live from OpenAlex

A trial was conducted in a commercial finishing feedlot in southern Alberta, Canada using fall-placed steer calves to evaluate the comparative efficacy of metaphylactic treatment with tilmicosin or tildipirosin for control of bovine respiratory disease (BRD). First-pull treatment rates for BRD were significantly lower (P<0.01) in calves administered tildipirosin than those administered tilmicosin on arrival. There were no significant differences in BRD relapse rates, overall mortality, or BRD and histophilosis mortality. While calves treated with tildipirosin on feedlot entry had higher average daily gain (P=0.006) and lower dry-matter conversion (P=0.007) at 56 days-on-feed than those treated with tilmicosin, these performance differences were no longer significant (P>0.05) at 146 days-on-feed. Using current drug prices and based on differences in initial BRD treatment rates, tilmicosin had a net economic advantage of $6.85 CAN/head to those treated with tildipirosin on arrival.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.528
Threshold uncertainty score0.939

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.289
Teacher spread0.266 · 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 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

Citations10
Published2013
Admission routes1
Has abstractyes

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