{"id":"W2771940501","doi":"10.1016/j.meegid.2017.12.003","title":"Phylogeny and antimicrobial resistance in Neisseria gonorrhoeae isolates from Rio de Janeiro, Brazil","year":2017,"lang":"en","type":"article","venue":"Infection Genetics and Evolution","topic":"Reproductive tract infections research","field":"Immunology and Microbiology","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Defence and Security Accelerator; Centers for Disease Control and Prevention; National Institutes of Health; Canadian Dairy Commission; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Neisseria gonorrhoeae; MTRR; Biology; Microbiology; Antibiotic resistance; Tetracycline; Ciprofloxacin; Azithromycin; Penicillin; Genetics; Multilocus sequence typing; Agar dilution; Plasmid; Virology; Minimum inhibitory concentration; Gene; Genotype; Antimicrobial; Antibiotics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004831481,0.0003380345,0.0004702467,0.002374653,0.0008077872,0.001073322,0.0004602125,0.0004961648,0.0005523223],"category_scores_gemma":[0.002123427,0.0002420225,0.0004000308,0.001927951,0.0006754632,0.0002727203,0.0007167421,0.0004340624,0.0001530111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001132042,"about_ca_system_score_gemma":0.001017496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04306862,"about_ca_topic_score_gemma":0.0710871,"domain_scores_codex":[0.9993725,0.0001125879,0.00005876307,0.0001640446,0.0001404995,0.000151704],"domain_scores_gemma":[0.9989527,0.0002515274,0.0003003411,0.00007842566,0.0002891403,0.000127844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002810368,0.00011471,0.8202322,0.0003408364,0.0001987595,0.0009410578,0.009915027,0.0003869635,0.1270947,0.001140362,0.000322826,0.03903151],"study_design_scores_gemma":[0.000006707608,0.0001077805,0.9885594,0.0000819424,0.00006994469,0.001190962,0.002723266,0.000344171,0.001474987,0.0001030633,0.005320181,0.00001748892],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952055,0.001386642,0.0003796514,0.0001677374,0.000008667112,0.00003607586,0.0004321577,0.000007478033,0.002376115],"genre_scores_gemma":[0.9975681,0.0008682569,0.0007458172,0.00007461199,0.000007030078,0.00001617293,0.0004526432,0.000008275126,0.0002591391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04306862,"threshold_uncertainty_score":0.08563584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244299569895744,"score_gpt":0.2805404346436261,"score_spread":0.2680974389446686,"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."}}