{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001830433,0.0005467669,0.00197074,0.00005893274,0.0001026619,0.00004350629,0.0005118519,0.0002036767,0.00001990305],"category_scores_gemma":[0.005476696,0.0004025648,0.0005439611,0.00007348027,0.00009173022,0.00005538528,0.0009945082,0.0004320669,0.000004762004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002158696,"about_ca_system_score_gemma":0.0003409629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006065194,"about_ca_topic_score_gemma":0.0001195134,"domain_scores_codex":[0.9966658,0.0008097309,0.0009205268,0.0009407329,0.0003037706,0.0003594862],"domain_scores_gemma":[0.9867177,0.01176295,0.0004107411,0.0006459606,0.0002961244,0.0001665288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01231699,0.005267449,0.02003518,0.05185146,0.00708129,0.00007025434,0.002022144,0.7680467,0.0006912987,0.1306648,0.0003987202,0.001553737],"study_design_scores_gemma":[0.001504381,0.000283302,0.005430077,0.000266906,0.0006176238,8.632739e-8,0.0006547084,0.4156162,0.000002001593,0.5753071,0.00000457678,0.0003130401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3112809,0.0005672227,0.6808082,0.0002929502,0.000157871,0.006037021,0.0005475471,0.000236205,0.00007201713],"genre_scores_gemma":[0.9947078,0.0000400522,0.003193028,0.0001095105,0.00004396561,0.001790038,0.00003592097,0.00005343123,0.00002621078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6834269,"threshold_uncertainty_score":0.9998426,"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."}}