{"id":"W3148021931","doi":"10.5772/intechopen.96689","title":"Human Cultural Dimensions and Behavior during COVID-19 Can Lead to Policy Resistance and Economic Losses: A Perspective from Game Theory Analysis","year":2021,"lang":"en","type":"book-chapter","venue":"IntechOpen eBooks","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"University of Ottawa","keywords":"Social distance; Public economics; Context (archaeology); Pandemic; Isolation (microbiology); Psychological intervention; Evolutionary game theory; Economic cost; Social isolation; Distancing; Game theory; Psychological resilience; Development economics; Economics; Business; Risk analysis (engineering); Coronavirus disease 2019 (COVID-19); Social psychology; Psychology; Disease; Microeconomics; Medicine; Infectious disease (medical specialty); Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008065512,0.0003844229,0.0002445495,0.000266788,0.0008128312,0.002362582,0.0008360855,0.001232958,0.004219216],"category_scores_gemma":[0.00151243,0.0001603093,0.0003508481,0.0003951329,0.003466788,0.001983934,0.001052334,0.001740622,0.0003423152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002241404,"about_ca_system_score_gemma":0.001006901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003521947,"about_ca_topic_score_gemma":0.003110494,"domain_scores_codex":[0.9995939,0.000266228,0.00000719947,0.00003830046,0.00005379039,0.00004069476],"domain_scores_gemma":[0.9993209,0.0005267159,0.00005219874,0.0000301623,0.00003803425,0.00003211351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004794963,0.00001512273,0.000256928,0.00003963685,0.000005048958,0.00006774294,0.0005141624,0.006341877,0.0001652618,0.9824728,0.003064967,0.007051785],"study_design_scores_gemma":[0.000005280583,0.00003109546,0.001123665,0.0001232458,0.000007141297,0.0001074998,0.001288805,0.01919943,0.0001512526,0.9376624,0.04028597,0.00001421432],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0648299,0.01034219,0.1799708,0.03925665,0.0006482079,0.0001587251,0.0003075476,0.00008225563,0.7044037],"genre_scores_gemma":[0.8881896,0.01047117,0.03248781,0.001826749,0.0002343218,0.0002844267,0.0001212697,0.00004716967,0.06633752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004219216,"threshold_uncertainty_score":0.01626259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1477184004875607,"score_gpt":0.4246270330495218,"score_spread":0.2769086325619611,"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."}}