{"id":"W2592025411","doi":"10.1093/jac/dkx067","title":"WGS to predict antibiotic MICs for Neisseria gonorrhoeae","year":2017,"lang":"en","type":"article","venue":"Journal of Antimicrobial Chemotherapy","topic":"Reproductive tract infections research","field":"Immunology and Microbiology","cited_by":207,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"National Institutes of Health; Public Health England; National Institute for Health Research Health Protection Research Unit; National Institute for Health and Care Research; NIHR Oxford Biomedical Research Centre; University of Oxford; Wellcome Trust; Medical Research Council; Wellcome","keywords":"Neisseria gonorrhoeae; Microbiology; Antibiotics; Neisseriaceae; Gonorrhea; Neisseria; Medicine; Biology; Virology; Bacteria; Genetics","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":[0.0007210809,0.0001877724,0.0004333598,0.0002382401,0.0005319826,0.0001451315,0.0007365291,0.0001975511,0.0001772538],"category_scores_gemma":[0.0004227383,0.0001600548,0.0002826168,0.00007120447,0.0001866217,0.0003115771,0.00005713634,0.000379771,0.0001372255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008334256,"about_ca_system_score_gemma":0.0001924091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003508378,"about_ca_topic_score_gemma":0.00000941811,"domain_scores_codex":[0.9987921,0.00006207219,0.000463266,0.0002578141,0.00002759489,0.0003971198],"domain_scores_gemma":[0.9982288,0.00009264691,0.0005321037,0.0006072671,0.0004830708,0.00005606891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00131226,0.0002965909,0.004417083,0.00002528992,0.0003193611,0.000001608236,0.0001619252,0.00003138001,0.9501323,0.00005278191,0.03383045,0.009419004],"study_design_scores_gemma":[0.002994333,0.000860255,0.02534684,0.00007542373,0.00003470902,0.0004936856,0.00002779404,0.000003007516,0.7862852,0.0000581453,0.1836388,0.0001818591],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882268,0.000168987,0.00196096,0.006400584,0.002256516,0.0004979625,0.00003468472,0.00001903991,0.0004344109],"genre_scores_gemma":[0.9945273,0.0002657121,0.002535688,0.0004857012,0.0004874465,0.000002237552,0.00000683666,0.00004498569,0.001644059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1638471,"threshold_uncertainty_score":0.6526843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02266240566377975,"score_gpt":0.326455008098976,"score_spread":0.3037926024351963,"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."}}