{"id":"W3216042951","doi":"10.1007/s13235-021-00409-9","title":"Necessity of Social Distancing in Pandemic Control: A Dynamic Game Theory Approach","year":2021,"lang":"en","type":"article","venue":"Dynamic Games and Applications","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Social distance; Pandemic; Flexibility (engineering); Control (management); Coronavirus disease 2019 (COVID-19); Distancing; Game theory; Political science; Business; Public relations; Economics; Microeconomics; Medicine; Management","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":[0.002266934,0.001190784,0.001082749,0.0009041546,0.00164978,0.002863999,0.001917446,0.003622536,0.004869607],"category_scores_gemma":[0.005752768,0.0006476911,0.00115535,0.0006373358,0.003258293,0.003406568,0.002456335,0.002499054,0.0002721865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00370888,"about_ca_system_score_gemma":0.002475298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01102534,"about_ca_topic_score_gemma":0.009551642,"domain_scores_codex":[0.9981505,0.001252674,0.00003372546,0.0001518751,0.0001322361,0.0002790703],"domain_scores_gemma":[0.9966078,0.002460393,0.0003478318,0.00006166727,0.0001990765,0.0003231895],"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":[0.00007956015,0.0001039446,0.001135207,0.0001076859,0.00005791056,0.0003989272,0.0004401397,0.604241,0.0007068406,0.3879117,0.001312125,0.003504859],"study_design_scores_gemma":[0.00005029016,0.0000915269,0.0003144441,0.00003633422,0.00002950919,0.0000806626,0.0004417322,0.8584009,0.00009291223,0.1383848,0.002042525,0.00003439094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2326803,0.001515254,0.6250241,0.0109542,0.0003313738,0.0005124671,0.0003597972,0.00008574079,0.1285368],"genre_scores_gemma":[0.9668837,0.000670114,0.02451308,0.0004803355,0.00009587088,0.000272121,0.00004518297,0.00001682019,0.007022732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01102534,"threshold_uncertainty_score":0.02690995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05869119756941959,"score_gpt":0.3803454606746232,"score_spread":0.3216542631052036,"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."}}