{"id":"W4225753894","doi":"10.1186/s13690-021-00778-y","title":"Using a stochastic continuous-time Markov chain model to examine alternative timing and duration of the COVID-19 lockdown in Kuwait: what can be done now?","year":2022,"lang":"en","type":"article","venue":"Archives of Public Health","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Kuwait Foundation for the Advancement of Sciences","keywords":"Coronavirus disease 2019 (COVID-19); Duration (music); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Markov chain; Markov model; Medicine; Computer science; Virology; Econometrics; Statistics; Mathematics; Infectious disease (medical specialty); Disease","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":[0.002537256,0.001018155,0.0008495896,0.001167113,0.0007491416,0.001728055,0.001247162,0.001595889,0.003527263],"category_scores_gemma":[0.006660026,0.0006259555,0.001237976,0.0008848247,0.001071673,0.001444783,0.0008806373,0.001498393,0.0001775144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005610869,"about_ca_system_score_gemma":0.004508924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1589206,"about_ca_topic_score_gemma":0.1075673,"domain_scores_codex":[0.9990776,0.0004300863,0.0000285007,0.000125149,0.00005187363,0.0002868141],"domain_scores_gemma":[0.9951376,0.003656124,0.0006153923,0.00005909386,0.0003045289,0.0002271904],"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":[0.0002794896,0.000220572,0.03164377,0.00007948531,0.0001616034,0.0003241366,0.0001387169,0.9546438,0.0003295077,0.009817925,0.0004651659,0.001895739],"study_design_scores_gemma":[0.00003240674,0.00009276708,0.003283897,0.00001308397,0.00006517064,0.00001665601,0.0001823426,0.9944971,0.00007216169,0.001601379,0.000127954,0.00001498205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958762,0.0004640726,0.03421718,0.00157389,0.00006592635,0.0001818387,0.001075397,0.00007532488,0.003584385],"genre_scores_gemma":[0.9949284,0.0002375391,0.003151004,0.00006800912,0.00002247951,0.00009102319,0.0003594311,0.000006406055,0.00113561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1589206,"threshold_uncertainty_score":0.3159912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3460729631792692,"score_gpt":0.4267139186984162,"score_spread":0.08064095551914702,"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."}}