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Record W2990496320

Resistance to antimicrobials used at hatchery level among clinical <i>Escherichia coli</i> isolates from Ontario broilers.

2019· article· en· W2990496320 on OpenAlexaffabout
Stefanie Kadykalo, David L. Pearl, Ðurđa Slavić, Scott A. McEwen

Bibliographic record

VenuePubMed · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsCeftiofurSpectinomycinEscherichia coliBiologyAntibiotic resistanceGentamicinAntimicrobialVeterinary medicineHatcheryBroilerMicrobiologyAntibioticsAnimal scienceMedicineFish <Actinopterygii>
DOInot available

Abstract

fetched live from OpenAlex

clinical isolates from Ontario broiler chickens between 2008 and 2015, to determine whether stage of production, year and season are predictors of resistance, and whether published data on antimicrobial use help to interpret the temporal patterns in resistance. Logistic regression revealed that stage of production, year, and season were significant predictors of resistance to all 3 antimicrobials. Resistance to ceftiofur fluctuated over time, with a trend towards decreasing resistance between 2013 to 2015; resistance to gentamicin and spectinomycin increased over the study period, with significantly high resistance clusters identified from 2013 to 2015. Comparisons with published hatchery-level antimicrobial use data suggest that these trends may reflect changes in use of ceftiofur and spectinomycin in Ontario.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score0.496

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.029
GPT teacher head0.243
Teacher spread0.214 · 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

Citations2
Published2019
Admission routes2
Has abstractyes

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