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Record W3024468479

Antimicrobial resistance in bacteria isolated from horses from the Atlantic Provinces, Canada (1994 to 2013).

2018· article· en· W3024468479 on OpenAlexaffabout
Babafela Awosile, Luke C. Heider, Matthew E. Saab, J. Trenton McClure

Bibliographic record

VenuePubMed · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsCeftiofurStreptococcus equiAntimicrobialAntibiotic resistancePenicillinMicrobiologyBacteriologyBiologyBacteriaAntibioticsVeterinary medicineMedicine
DOInot available

Abstract

fetched live from OpenAlex

were the most commonly isolated bacteria over the study period. Clinical samples were most frequently submitted from respiratory and reproductive systems. Most bacterial isolates were susceptible to ceftiofur. Resistance was most common in Gram-negative enteric bacteria, while streptococci were frequently susceptible to most of the antimicrobials tested including penicillin and trimethoprim-sulfamethoxazole. The antimicrobial resistance trends over the study period were relatively stable. Multi-drug resistance was observed in 9% of the bacterial isolates. Information provided in this study could be used to help guide rational, empirical antimicrobial treatment selection in equine practices in Atlantic Canada.

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 score0.035
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.007
GPT teacher head0.193
Teacher spread0.186 · 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

Citations14
Published2018
Admission routes2
Has abstractyes

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