{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004142998,0.0006241175,0.001555565,0.0004827968,0.0005008868,0.0001535271,0.0003488599,0.0003544208,0.0002629416],"category_scores_gemma":[0.00251267,0.0005275676,0.00036467,0.00005926647,0.0006394832,0.00004459097,0.001194314,0.0005911651,0.00001465736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002024838,"about_ca_system_score_gemma":0.0002112992,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009221902,"about_ca_topic_score_gemma":0.05670917,"domain_scores_codex":[0.9972952,0.0001631569,0.0006983764,0.001282276,0.0001744874,0.0003864749],"domain_scores_gemma":[0.9965414,0.001754802,0.0004049983,0.0007570415,0.0001534307,0.0003882716],"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":[0.0001098193,0.00002844349,0.0005053547,0.0001224668,0.002593633,0.00023148,0.00874557,0.000004201186,0.0008325582,0.9858847,0.0007316192,0.0002102035],"study_design_scores_gemma":[0.0007653608,0.00009623418,0.002524124,0.000488889,0.004251511,0.00001747873,0.00571915,0.000002320107,0.0001876161,0.9687728,0.01586944,0.001305126],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6256281,0.004274506,0.0007694688,0.007852052,0.0001629526,0.004174519,0.003401924,0.0006080393,0.3531284],"genre_scores_gemma":[0.5970371,0.0001987266,0.001744387,0.002337893,0.0002714584,0.0002922682,0.00003158821,0.0001030423,0.3979835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04748727,"threshold_uncertainty_score":0.9997176,"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."}}