{"id":"W2924121833","doi":"10.1128/jcm.01780-18","title":"Comparing Patient Risk Factor-, Sequence Type-, and Resistance Locus Identification-Based Approaches for Predicting Antibiotic Resistance in Escherichia coli Bloodstream Infections","year":2019,"lang":"en","type":"article","venue":"Journal of Clinical Microbiology","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Antibiotic resistance; Antibiotics; Biology; Locus (genetics); Escherichia coli; Microbiology; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006343701,0.0006660878,0.0005584485,0.0009171466,0.0002045067,0.0009606594,0.0003482623,0.0008859176,0.001332447],"category_scores_gemma":[0.0126532,0.0001749144,0.0005806792,0.0004566062,0.0002060962,0.0008981443,0.0005842157,0.0008033579,0.0005217203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002196476,"about_ca_system_score_gemma":0.0003282721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003374266,"about_ca_topic_score_gemma":0.000938281,"domain_scores_codex":[0.9970956,0.00191343,0.0002407676,0.0002974547,0.0003136741,0.0001390334],"domain_scores_gemma":[0.9918358,0.005864948,0.0005812343,0.0004011624,0.0006733793,0.0006435365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003980929,0.0003137929,0.9582054,0.00006300517,0.000586291,0.00004652095,0.00008297131,0.001997842,0.001814915,0.0001127959,0.000306951,0.03248877],"study_design_scores_gemma":[0.0003068033,0.006951817,0.8777791,0.0001052944,0.0009645716,0.001331769,0.0003883838,0.1031481,0.00572119,0.001622743,0.001603931,0.00007643225],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937369,0.0009570102,0.004031062,0.000128805,0.00005974581,0.00002642609,0.0001648922,0.00002983039,0.0008653831],"genre_scores_gemma":[0.996856,0.0001669031,0.002520427,0.00004630199,0.000025086,0.00001496149,0.0001687875,0.000004748418,0.0001967428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006343701,"threshold_uncertainty_score":0.03354913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0442222776083191,"score_gpt":0.3144279912470925,"score_spread":0.2702057136387734,"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."}}