{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00348933,0.0002158556,0.001492782,0.0002338313,0.00004366588,0.000002658867,0.0004585224,0.0003827295,0.0004486717],"category_scores_gemma":[0.005644572,0.0001454521,0.0001896964,0.0001456193,0.000469674,0.00006262333,0.0001775997,0.0006543653,0.00006933208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002848343,"about_ca_system_score_gemma":0.001277672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06333679,"about_ca_topic_score_gemma":0.2403973,"domain_scores_codex":[0.9941278,0.002311812,0.002497726,0.0005199031,0.00001624808,0.0005265666],"domain_scores_gemma":[0.9930703,0.00495156,0.001088776,0.0004731535,0.0003049762,0.0001112092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001886616,0.0001054,0.05426224,0.000009483254,0.0002771003,0.00001443556,0.00001652911,0.000006437895,0.9350286,0.0008388639,0.005249638,0.002304664],"study_design_scores_gemma":[0.004804893,0.001850145,0.6635954,0.0002340241,0.00009005539,0.0003284852,0.0001213343,2.829601e-7,0.2002816,0.01282266,0.1154748,0.0003962297],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987107,0.004154833,0.001845298,0.005146651,0.001241985,0.0002190728,0.00022689,0.000004286278,0.0000540343],"genre_scores_gemma":[0.9966481,0.0005914044,0.00193684,0.0005401669,0.0000677337,0.000005107525,0.0000119773,0.00001912495,0.000179496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7347469,"threshold_uncertainty_score":0.9429005,"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."}}