{"id":"W2304883727","doi":"10.1128/jcm.03195-15","title":"Genomic Epidemiology and Molecular Resistance Mechanisms of Azithromycin-Resistant Neisseria gonorrhoeae in Canada from 1997 to 2014","year":2016,"lang":"en","type":"article","venue":"Journal of Clinical Microbiology","topic":"Reproductive tract infections research","field":"Immunology and Microbiology","cited_by":138,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; Provincial Laboratory of Public Health; Public Health Agency of Canada; Toronto Public Health; BC Centre for Disease Control; Public Health Ontario; Ste. Anne's Hospital; Health Canada; Saskatchewan Disease Control Laboratory; University of Manitoba","funders":"","keywords":"Neisseria gonorrhoeae; Biology; MTRR; 23S ribosomal RNA; Azithromycin; Genetics; Microbiology; Molecular epidemiology; Neisseria meningitidis; Phylogenetic tree; Genotype; Gene; Bacteria; Antibiotics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003825303,0.0003330491,0.0003063499,0.002955238,0.001463752,0.001111482,0.0007500345,0.0003271205,0.0008706545],"category_scores_gemma":[0.001573929,0.0002926496,0.0003699411,0.005355635,0.000641113,0.000229004,0.0005620755,0.0004997515,0.00009297927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02760762,"about_ca_system_score_gemma":0.03229659,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944686,"about_ca_topic_score_gemma":0.9951078,"domain_scores_codex":[0.9993314,0.00002238895,0.0000337452,0.0001307961,0.0002790412,0.0002027611],"domain_scores_gemma":[0.9982049,0.00005170036,0.0002407488,0.0000300436,0.001207619,0.0002650662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001682025,0.00002748422,0.9735729,0.0001055502,0.00008185351,0.0002773525,0.001288997,0.000441038,0.002581506,0.0002874745,0.001295986,0.01987159],"study_design_scores_gemma":[0.00000422018,0.00002122567,0.9964288,0.00004202655,0.00002348088,0.0001128888,0.000738839,0.0002705102,0.0002834111,0.00001626616,0.002049924,0.000008465079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864621,0.002731878,0.0003165287,0.0004411979,0.00001354336,0.0000649545,0.007787776,0.0000232496,0.002158827],"genre_scores_gemma":[0.9907487,0.002551813,0.0007203142,0.0002057304,0.000009885084,0.00001920082,0.004495028,0.000007873361,0.001241423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02760762,"threshold_uncertainty_score":0.2003083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03397772171844732,"score_gpt":0.3447931798452509,"score_spread":0.3108154581268036,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}