{"id":"W4205639076","doi":"10.2471/blt.20.253807","title":"Effectiveness of control strategies for Coronavirus Disease 2019: a SEIR dynamic modeling study","year":2020,"lang":"en","type":"preprint","venue":"","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Coronavirus; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Control (management); Disease; Disease control; Computer science; Virology; Medicine; Infectious disease (medical specialty); Artificial intelligence; Outbreak; Internal 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":[0.003551109,0.001282597,0.001356226,0.001162926,0.0004596802,0.001449979,0.001108696,0.001718264,0.005421058],"category_scores_gemma":[0.01206485,0.0004405468,0.001430468,0.0004034604,0.0007784268,0.001724755,0.001107531,0.001149931,0.0003316376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016367,"about_ca_system_score_gemma":0.001247138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01004393,"about_ca_topic_score_gemma":0.003141971,"domain_scores_codex":[0.9991133,0.0005261442,0.00003108683,0.0001014088,0.00007244522,0.0001556782],"domain_scores_gemma":[0.9909768,0.007497611,0.0007178861,0.0001943679,0.0004478476,0.0001654188],"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":[0.0001934535,0.0002541157,0.001602788,0.0001318891,0.0001636581,0.00007661831,0.00006668265,0.9524117,0.001234417,0.03298445,0.0009362352,0.009943996],"study_design_scores_gemma":[0.00002760893,0.0001459276,0.0003989285,0.00001020333,0.00004702825,0.00001087509,0.00005310466,0.992334,0.0002445485,0.006508362,0.0002125177,0.000006934133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6499046,0.002493524,0.3108888,0.003413912,0.0001826152,0.0002611492,0.0006013722,0.0002621605,0.0319919],"genre_scores_gemma":[0.9879218,0.0005201383,0.005925085,0.0001185412,0.00003704211,0.00007844449,0.0001185325,0.00002581147,0.005254618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01004393,"threshold_uncertainty_score":0.01997095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3107000869753531,"score_gpt":0.4842718034391699,"score_spread":0.1735717164638167,"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."}}