{"id":"W2725132273","doi":"10.1287/opre.2018.1817","title":"Dynamics of Drug Resistance: Optimal Control of an Infectious Disease","year":2019,"lang":"en","type":"article","venue":"Operations Research","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Institute of Allergy and Infectious Diseases","keywords":"Outbreak; Disease; Infectious disease (medical specialty); Drug resistance; Transmission (telecommunications); Public health; Disease control; Resistance (ecology); Drug; Mathematical modelling of infectious disease; Antibiotic resistance; Medicine; Intensive care medicine; Environmental health; Virology; Biology; Computer science; Antibiotics; Pharmacology; Ecology; Microbiology","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":[0.002314986,0.001324342,0.00171712,0.0006639542,0.0005565232,0.002367125,0.001410758,0.002200219,0.003445552],"category_scores_gemma":[0.01085476,0.0005965337,0.0008356869,0.0005174695,0.002625602,0.002978149,0.001675778,0.002469499,0.000239116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002311633,"about_ca_system_score_gemma":0.00200978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006528979,"about_ca_topic_score_gemma":0.002772605,"domain_scores_codex":[0.9981186,0.0009551432,0.00006288118,0.0003674403,0.000271667,0.0002243196],"domain_scores_gemma":[0.9959888,0.002657732,0.0006141206,0.0001688077,0.0002825243,0.0002879796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009890809,0.0000953995,0.00111364,0.0001920374,0.0001493704,0.000159867,0.0001026522,0.5363221,0.001357164,0.4383177,0.006389937,0.01570129],"study_design_scores_gemma":[0.00005514723,0.00008019123,0.0004486057,0.00004236903,0.00002955601,0.00005839608,0.00005297558,0.7540516,0.0002595221,0.2412842,0.003609292,0.00002812256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05601845,0.005061272,0.883102,0.02395433,0.0007670535,0.0001034247,0.0003086112,0.0001553503,0.0305295],"genre_scores_gemma":[0.9342637,0.004777814,0.04328399,0.001938592,0.000975264,0.0002184501,0.0001621769,0.00006692742,0.01431304],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006528979,"threshold_uncertainty_score":0.01677215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02497615012072462,"score_gpt":0.3743885353787218,"score_spread":0.3494123852579972,"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."}}