{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002601533,0.0001277896,0.0001515699,0.0001366777,0.0006276702,0.0001054279,0.00008093645,0.0002181133,0.00004010841],"category_scores_gemma":[0.0001747868,0.0001362457,0.00002870149,0.00006626631,0.0003135933,0.0001573488,0.00009340473,0.0002659882,0.00004808424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001076089,"about_ca_system_score_gemma":0.00005483388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004527715,"about_ca_topic_score_gemma":0.005227871,"domain_scores_codex":[0.9990539,0.0001259051,0.000180418,0.0003648883,0.00001025329,0.0002646494],"domain_scores_gemma":[0.9993904,0.00004970095,0.0001087331,0.0003486951,0.00007598124,0.00002648856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007635826,0.0000533099,0.4984269,0.00001087756,0.00002730628,2.642595e-7,0.0001098566,0.00002286176,0.4983658,0.0001432718,0.0002119415,0.002551355],"study_design_scores_gemma":[0.0007108061,0.00006788474,0.970201,0.00002865023,0.00001560465,0.00003041511,0.00001180635,0.00006231353,0.01867047,0.001925427,0.008138719,0.0001368951],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944046,0.002920344,0.0006006391,0.0002100984,0.0004980557,0.0001818232,0.00002060066,0.00002657278,0.001137316],"genre_scores_gemma":[0.9971177,0.00212159,0.0001494836,0.00001615188,0.0000864421,0.00001495389,0.00001894459,0.00001208908,0.0004626704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4796953,"threshold_uncertainty_score":0.6844581,"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."}}