{"id":"W2152561300","doi":"10.1136/sextrans-2013-051229","title":"Molecular epidemiology of<i>Neisseria gonorrhoeae</i>isolates from Saskatchewan, Canada: utility of NG-MAST in predicting antimicrobial susceptibility regionally","year":2014,"lang":"en","type":"article","venue":"Sexually Transmitted Infections","topic":"Reproductive tract infections research","field":"Immunology and Microbiology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Disease Control Laboratory; University of Saskatchewan","funders":"National Research Council Canada; Saskatchewan Health Research Foundation; University of Saskatchewan","keywords":"Neisseria gonorrhoeae; Tetracycline; Penicillin; Microbiology; Typing; Agar dilution; Antibiotic resistance; Biology; Molecular epidemiology; Medicine; Ciprofloxacin; Antibiotics; Genotype; Minimum inhibitory concentration; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001733482,0.0003277509,0.0009012565,0.000336396,0.0001878197,0.000004365476,0.0003378336,0.0004395133,0.0003514739],"category_scores_gemma":[0.001820315,0.0003383625,0.0001948663,0.0008260439,0.0007886203,0.00016194,0.00006872119,0.0009891164,0.00001257243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001411242,"about_ca_system_score_gemma":0.001260039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6136858,"about_ca_topic_score_gemma":0.81595,"domain_scores_codex":[0.9951869,0.001984375,0.001321188,0.0008343995,0.00004211228,0.0006310794],"domain_scores_gemma":[0.9958667,0.002338206,0.0003675076,0.0008826655,0.0004830724,0.00006185118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001542626,0.0006171727,0.6342995,0.00006773973,0.000268493,4.041493e-7,0.0003133288,0.0007551472,0.3615459,0.000133822,0.0001549672,0.001689237],"study_design_scores_gemma":[0.001322782,0.0004836331,0.9273091,0.00007302746,0.00007933089,0.000032896,0.000445024,0.0002226968,0.06751607,0.0007922797,0.001436073,0.0002870979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883614,0.000391701,0.008550008,0.0004016965,0.0007096636,0.0005582614,0.000281952,0.000081239,0.0006641456],"genre_scores_gemma":[0.9991489,0.00002246267,0.0002757535,0.00007762029,0.00004216825,0.00003950359,0.0002969455,0.00003139399,0.00006525465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2940298,"threshold_uncertainty_score":0.9999068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562585385983565,"score_gpt":0.2642148445943336,"score_spread":0.2485889907344979,"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."}}