{"id":"W2172955667","doi":"10.1016/j.mbs.2015.11.004","title":"Modeling the spread and control of dengue with limited public health resources","year":2015,"lang":"en","type":"article","venue":"Mathematical Biosciences","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":112,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; University of Alberta; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Dengue fever; Public health; Transmission (telecommunications); Bifurcation; Control (management); Resource (disambiguation); Transmission rate; Disease transmission; Nonlinear system; Resource allocation; Limited resources; Economics; Environmental health; Computer science; Business; Medicine; Virology; Risk analysis (engineering); Physics","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":[0.002119701,0.001153027,0.001312716,0.00134963,0.0006203061,0.002509905,0.002524555,0.003621697,0.00432547],"category_scores_gemma":[0.01255484,0.0009099803,0.0009662929,0.001068304,0.002123514,0.003294875,0.001939597,0.001903868,0.0003058839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003145061,"about_ca_system_score_gemma":0.002503882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02504514,"about_ca_topic_score_gemma":0.01277172,"domain_scores_codex":[0.9988887,0.000602994,0.00003712848,0.0001629559,0.00009042607,0.0002178995],"domain_scores_gemma":[0.9939448,0.00445395,0.0008837406,0.0001218316,0.0002350206,0.0003604722],"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":[0.00007015055,0.00009217396,0.002289822,0.00006744164,0.00006992665,0.0001844931,0.0001124017,0.9111741,0.0002861155,0.08206398,0.000829307,0.002760025],"study_design_scores_gemma":[0.00005460007,0.00004884574,0.000582051,0.00001724134,0.00003280802,0.00004764757,0.0001071234,0.9600872,0.00005659249,0.03841966,0.0005319983,0.00001428966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6416358,0.003219858,0.2926267,0.02371956,0.000416079,0.000237447,0.001805287,0.0002097496,0.03612952],"genre_scores_gemma":[0.9805592,0.001283042,0.006759253,0.0002941311,0.0001449015,0.0001333416,0.0001608742,0.00001825524,0.01064707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02504514,"threshold_uncertainty_score":0.04979867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09827123098707467,"score_gpt":0.3118006852049257,"score_spread":0.213529454217851,"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."}}