{"id":"W2941801251","doi":"10.1128/aac.02531-18","title":"Joint Modeling of Resistance to Six Antimicrobials in Urinary Escherichia coli Isolates in Quebec, Canada","year":2019,"lang":"en","type":"article","venue":"Antimicrobial Agents and Chemotherapy","topic":"Urinary Tract Infections Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal; Université Laval; University of Toronto; Cégep de Rimouski; McGill University Health Centre; McGill University; Public Health Ontario","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Urinary system; Escherichia coli; Antimicrobial; Microbiology; Antibiotic resistance; Population; Medicine; Biology; Antibiotics; Internal medicine; Genetics; Environmental health; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001398651,0.000188061,0.0004484597,0.0002093454,0.00002737581,0.00001786174,0.00008284622,0.00006832326,0.0001509142],"category_scores_gemma":[0.00000761238,0.0001896288,0.00004828591,0.0003440714,0.00002162879,0.00009444712,0.00005086504,0.0001447272,0.000006693152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001991778,"about_ca_system_score_gemma":0.0001707047,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3624161,"about_ca_topic_score_gemma":0.5033044,"domain_scores_codex":[0.9987952,0.00002929017,0.0004539836,0.0003292567,0.0001039071,0.000288364],"domain_scores_gemma":[0.9995322,0.00001428252,0.00008738954,0.0002533288,0.00004451865,0.0000683083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002597017,0.006151623,0.4233662,0.001757234,0.0003015295,0.0002465175,0.002528948,0.01039737,0.4947573,0.00009123029,0.05695333,0.0008517639],"study_design_scores_gemma":[0.01332972,0.00120165,0.8442281,0.003364565,0.00008017113,0.00003481344,0.0006733023,0.008101488,0.06669337,0.00003551869,0.06100358,0.001253712],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925967,0.00003876127,0.00004521196,0.005438863,0.0001250419,0.0007751001,0.000007817192,0.00001408467,0.0009583891],"genre_scores_gemma":[0.9899745,0.0003329292,0.0006378215,0.006082253,0.00002572377,0.000007036889,0.0000100358,0.00003018993,0.002899536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4280639,"threshold_uncertainty_score":0.7732837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195822164344508,"score_gpt":0.2351128818707317,"score_spread":0.2231546602272866,"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."}}