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Comparative efficacy of tilmicosin, florfenicol, and fiorfenicol-flunixin meglumine for treatment of undifferentiated fever in backgrounded winter-placed feedlot calves given tilmicosin metaphylactically on arrival

2014· article· en· W3165057557 on OpenAlexafffund
Joyce Van Donkersgoed, J. K. Merrill, S. Hendrick

Bibliographic record

VenueThe Bovine Practitioner · 2014
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMicrobial infections and disease research
Canadian institutionsUniversity of SaskatchewanEli Lilly (Canada)
FundersEli Lilly CanadaElanco Animal HealthEli Lilly and Company
KeywordsTilmicosinFlorfenicolFeedlotMedicineBovine respiratory diseaseBolus (digestion)HerdAnimal scienceVeterinary medicineBiologyAntibioticsInternal medicineMicrobiologyImmunology

Abstract

fetched live from OpenAlex

A study was conducted in 3 feedlots to compare the clinical efficacy of tilmicosin to florfenicol and florfenicol-nunixin meglumine for the initial treatment of undifferentiated fever (UF) in backgrounded winter-placed feedlot calves treated metaphylactically with tilmicosin at arrival processing. No significant differences (P>0.05) were found in UF relapse rates, crude case fatality rates, bovine respiratory disease and histophilus fatality rates, or average daily gain between the 3 groups. The cost benefit of tilmicosin versus florfenicol and florfenicol-flunixin meglumine was based on the difference in treatment cost between the 3 drugs. Using current market prices and a treatment weight of 828 lb (376 kg), the cost of treatment with tilmicosin was $15.85 CAN less per head compared to treatment with florfenicol, and $15.90 CAN per head less than florfenicol-flunixin meglumine.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score0.699

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.042
GPT teacher head0.326
Teacher spread0.284 · 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 designBench or experimental
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

Citations3
Published2014
Admission routes2
Has abstractyes

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