{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001598756,0.0007154653,0.0007569506,0.0006754195,0.001399722,0.001892814,0.001643458,0.0009897692,0.002680211],"category_scores_gemma":[0.004171764,0.0005385507,0.001143654,0.001197084,0.000906257,0.0005363045,0.0009447424,0.0009490643,0.0002087551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01957201,"about_ca_system_score_gemma":0.01628905,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9885463,"about_ca_topic_score_gemma":0.9805608,"domain_scores_codex":[0.9992661,0.0001914528,0.00003380909,0.0001856281,0.00006578123,0.0002572251],"domain_scores_gemma":[0.9977382,0.0009670003,0.0002462617,0.00008374262,0.0006892795,0.000275499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000276766,0.0001406604,0.1961965,0.0000442695,0.0003338759,0.0001906154,0.000203414,0.7929464,0.0005062527,0.001135275,0.002029261,0.005996605],"study_design_scores_gemma":[0.00004089218,0.00004568475,0.05038699,0.00001682855,0.00007456484,0.00002648563,0.0002737156,0.9480855,0.0001260995,0.000319941,0.000577138,0.00002608331],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892371,0.0004231047,0.004614678,0.0008984443,0.00002999147,0.00005312408,0.002919026,0.00007819331,0.001746413],"genre_scores_gemma":[0.9933665,0.0001640934,0.00173511,0.00009520796,0.000008310194,0.00003158621,0.001643712,0.00001917255,0.002936345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01957201,"threshold_uncertainty_score":0.1420056,"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."}}