{"id":"W3155950194","doi":"10.1016/j.jprocont.2021.03.008","title":"State estimation-based control of COVID-19 epidemic before and after vaccine development","year":2021,"lang":"en","type":"article","venue":"Journal of Process Control","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Estimation; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Control (management); State (computer science); Virology; Computer science; Medicine; Econometrics; Mathematics; Artificial intelligence; Engineering; Outbreak; Algorithm; 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":[0.003535953,0.0008527815,0.00133089,0.0006290226,0.0005371878,0.001699254,0.001095842,0.001005699,0.002120907],"category_scores_gemma":[0.0122895,0.0004469497,0.0005876861,0.0003545318,0.0009206004,0.001276205,0.001389128,0.001537419,0.0001824494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001086294,"about_ca_system_score_gemma":0.002103696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01605921,"about_ca_topic_score_gemma":0.007158331,"domain_scores_codex":[0.9990069,0.0003279317,0.00003863315,0.0002638285,0.0001172951,0.0002454756],"domain_scores_gemma":[0.9922293,0.005772163,0.0006778923,0.0001927855,0.00094539,0.0001824021],"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":[0.0004995458,0.0001336221,0.002275283,0.00009444777,0.00007655846,0.00004800373,0.00008535926,0.9584981,0.00161315,0.01386186,0.0005899795,0.02222425],"study_design_scores_gemma":[0.00001428401,0.00005572446,0.0003871729,0.000004486282,0.00001356485,0.000003373784,0.0000117608,0.9974439,0.0003482103,0.001642686,0.00007004747,0.000004764304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2096271,0.0005917446,0.7828323,0.001107423,0.0001695673,0.0001036722,0.0001823061,0.0003739045,0.00501192],"genre_scores_gemma":[0.9914136,0.00008959929,0.006760098,0.00004282195,0.00002319818,0.00003845713,0.00008628931,0.00001259336,0.001533428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01605921,"threshold_uncertainty_score":0.03193146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0645829701956035,"score_gpt":0.3905895023277375,"score_spread":0.326006532132134,"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."}}