MétaCan
Menu
Back to cohort
Record W2569346046 · doi:10.1139/cjm-2016-0716

Ciprofloxacin-resistant <i>Neisseria meningitidis</i> in Canada: likely imported strains

2017· article· en· W2569346046 on OpenAlexaffvenueabout
Raymond S. W. Tsang, Dennis K. S. Law, Saul Deng, Linda Hoang

Bibliographic record

VenueCanadian Journal of Microbiology · 2017
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBacterial Infections and Vaccines
Canadian institutionsBC Mental Health & Substance Use ServicesPublic Health Agency of Canada
FundersNational Institutes of HealthEuropean CommissionUniversity of OxfordWellcome Trust
KeywordsNeisseria meningitidisCiprofloxacinMeningococcal diseaseMicrobiologyOutbreakVirologyMedicineNeisseriaceaeBiologyBacteriaAntibiotics

Abstract

fetched live from OpenAlex

The prevalence of ciprofloxacin-resistant Neisseria meningitidis in Canada was studied by testing 346 isolates received at the National Microbiology Laboratory during the calendar years 2013 to 2015. Of the 277 individual invasive and 69 noninvasive isolates tested, only 2 serogroup C (MenC) isolates were found to be resistant to ciprofloxacin. Both MenC were typed as sequence type (ST)-4821, a unique clone found mainly in China, thus suggesting both isolates might be from travel-related or imported cases. This prompted us to also examine 6 serogroup A (MenA) isolates in our collection, since MenA is not currently endemic in Canada. Three MenA from 2006 were resistant to ciprofloxacin and they were typed as ST-4789. A ciprofloxacin-resistant MenA strain of ST-4789 was responsible for a meningococcal disease outbreak in Delhi, India, in 2005 to 2006. The 2 MenC and 3 MenA ciprofloxacin-resistant N. meningitidis were from patients residing in British Columbia.

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 score0.018
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.016
GPT teacher head0.222
Teacher spread0.206 · 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

Citations37
Published2017
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of MicrobiologySame topicBacterial Infections and VaccinesFrench-language works237,207