{"id":"W2583580911","doi":"10.1016/j.idm.2017.02.001","title":"Mathematical epidemiology: Past, present, and future","year":2017,"lang":"en","type":"review","venue":"Infectious Disease Modelling","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":442,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Epidemiology; Management science; Data science; Computer science; Geography; Engineering; Medicine","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":[0.00322247,0.001118638,0.001637912,0.004776877,0.0006545905,0.003060594,0.00146963,0.001925772,0.005855098],"category_scores_gemma":[0.005812835,0.0005538458,0.0009768007,0.005391094,0.002138984,0.005600991,0.001836852,0.00468986,0.002486736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00216211,"about_ca_system_score_gemma":0.003661803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00220082,"about_ca_topic_score_gemma":0.002595978,"domain_scores_codex":[0.9990495,0.0003752659,0.0001248358,0.0001233241,0.0002466585,0.00008043326],"domain_scores_gemma":[0.9947817,0.003711968,0.0003748554,0.0001906482,0.0007006123,0.0002402178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006563812,0.0001029207,0.0005592137,0.02011382,0.0001419947,0.0002418867,0.0003578425,0.001321468,0.0006662134,0.156237,0.06237807,0.7578139],"study_design_scores_gemma":[0.000007141537,0.00005092433,0.0007165862,0.007114004,0.00005314061,0.0008764459,0.0001607447,0.0003311714,0.0002190526,0.06161972,0.9288124,0.00003859206],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008799108,0.9931381,0.001199329,0.003393375,0.0006515913,0.000005514227,0.00002495114,0.00001362306,0.001485467],"genre_scores_gemma":[0.0008185547,0.9962466,0.0008409009,0.000602956,0.001089584,0.000008345184,0.00002616331,0.000004695147,0.0003621215],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005855098,"threshold_uncertainty_score":0.01958728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5443750313309587,"score_gpt":0.5076806540332458,"score_spread":0.03669437729771285,"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."}}