{"id":"W3020302015","doi":"10.1016/j.chaos.2020.109828","title":"SBDiEM: A new mathematical model of infectious disease dynamics","year":2020,"lang":"en","type":"article","venue":"Chaos Solitons & Fractals","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":84,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Pandemic; Infectious disease (medical specialty); Computer science; Outbreak; Mathematical modelling of infectious disease; Nowcasting; Risk analysis (engineering); Population; Management science; Scale (ratio); Data science; Operations research; Coronavirus disease 2019 (COVID-19); Geography; Disease; Environmental health; Business; Economics; Engineering; Medicine","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":[0.0005687745,0.0005218735,0.000797225,0.001089227,0.0006420345,0.001608606,0.001717211,0.001477631,0.002583174],"category_scores_gemma":[0.002007296,0.0002278036,0.000999794,0.0008271802,0.0008802082,0.001641574,0.001714175,0.00146201,0.0005236022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017087,"about_ca_system_score_gemma":0.001118331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001914044,"about_ca_topic_score_gemma":0.001373915,"domain_scores_codex":[0.9996662,0.000123632,0.00002160097,0.00004406291,0.0001012515,0.00004320918],"domain_scores_gemma":[0.9995298,0.0001701063,0.00008161441,0.00005831061,0.00007323805,0.00008687261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003959341,0.00003849133,0.0009529608,0.00008964392,0.00004398464,0.0002616879,0.0001557566,0.1369227,0.002450224,0.8450834,0.005276175,0.008685309],"study_design_scores_gemma":[0.0000330669,0.00004072343,0.0002278563,0.00001420016,0.00002069719,0.0001845414,0.0000238368,0.772258,0.0003462568,0.2105943,0.01623822,0.00001820304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06060446,0.001495031,0.8967283,0.004217546,0.001129442,0.0001268425,0.001206376,0.0004432947,0.03404872],"genre_scores_gemma":[0.7662594,0.002022894,0.1855661,0.001328085,0.001074079,0.0006116261,0.00101523,0.0001674857,0.04195515],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002583174,"threshold_uncertainty_score":0.008641601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2492240127366651,"score_gpt":0.4072384763606096,"score_spread":0.1580144636239444,"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."}}