{"id":"W4319062592","doi":"10.1093/infdis/jiad027","title":"Whole-Genome Sequencing to Predict Antimicrobial Susceptibility Profiles in <i>Neisseria gonorrhoeae</i>","year":2023,"lang":"en","type":"article","venue":"The Journal of Infectious Diseases","topic":"Reproductive tract infections research","field":"Immunology and Microbiology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Division of Microbiology and Infectious Diseases, National Institute of Allergy and Infectious Diseases; National Institute of Allergy and Infectious Diseases; Fogarty International Center; National Institutes of Health; National Institute of Mental Health; World Health Organization","keywords":"Neisseria gonorrhoeae; Ciprofloxacin; Biology; Antibiotic resistance; Antimicrobial; Microbiology; Genetics; Agar dilution; Minimum inhibitory concentration; Antibiotics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.00076381,0.0004683725,0.0004044239,0.0009640009,0.0001420637,0.0006271414,0.0002260351,0.0004466171,0.0006215842],"category_scores_gemma":[0.00195673,0.0001985606,0.0005199114,0.001088023,0.0001160671,0.0002503299,0.0002806877,0.0003038351,0.0002732148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002941139,"about_ca_system_score_gemma":0.0003135605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004209971,"about_ca_topic_score_gemma":0.005879853,"domain_scores_codex":[0.9997731,0.00005815412,0.00002265259,0.00007647008,0.00004212596,0.00002761503],"domain_scores_gemma":[0.9991105,0.0003065639,0.0002889131,0.00007710695,0.0001572161,0.00005958852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008501237,0.0001892105,0.7684754,0.0005172948,0.0007946531,0.0003860351,0.000317963,0.01271041,0.1534498,0.0001540712,0.002003449,0.06015156],"study_design_scores_gemma":[0.00004062358,0.0004669564,0.9508259,0.0001071163,0.0003051927,0.0007770114,0.0002960897,0.02635112,0.01638799,0.0002947877,0.00412327,0.00002404538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812097,0.00100048,0.007674844,0.0001257653,0.00001624019,0.00007276475,0.008993302,0.000151991,0.0007549722],"genre_scores_gemma":[0.9523588,0.000585284,0.02566633,0.0001620894,0.00001484921,0.00006352328,0.02071499,0.00005249582,0.0003816081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004209971,"threshold_uncertainty_score":0.008370936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01755445195754448,"score_gpt":0.2821778843868154,"score_spread":0.2646234324292709,"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."}}