{"id":"W3195255615","doi":"10.1016/j.socscimed.2021.114335","title":"A multi-national test on self-reported compliance with COVID-19 public health measures: The role of individual age and gender demographics and countries’ developmental status","year":2021,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; National Institute on Aging; National Institutes of Health; John Templeton Foundation","keywords":"Public health; Demographics; Test (biology); Coronavirus disease 2019 (COVID-19); Psychology; Compliance (psychology); Environmental health; Gerontology; Medicine; Demography; Social psychology; Sociology; Disease; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008875842,0.0006658841,0.001059954,0.002424137,0.001158556,0.001256297,0.001670164,0.001836571,0.004201045],"category_scores_gemma":[0.02006203,0.0009135921,0.002252832,0.002469343,0.0008428945,0.002330076,0.002851437,0.001966109,0.001123315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006474112,"about_ca_system_score_gemma":0.001090023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009143168,"about_ca_topic_score_gemma":0.01006754,"domain_scores_codex":[0.9950781,0.001651208,0.001089911,0.0006012599,0.001077318,0.0005021571],"domain_scores_gemma":[0.9718601,0.01100962,0.009287969,0.003178595,0.00329325,0.00137047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002031679,0.0003877649,0.9948366,0.00004688414,0.0002519867,0.00002025664,0.0003710315,0.0001655285,0.0001956937,0.00009954532,0.0006969657,0.002724558],"study_design_scores_gemma":[0.00001801437,0.0002312968,0.9985061,0.00001044305,0.00002791695,0.00004347833,0.0002873236,0.000274037,0.0001334572,0.00002952814,0.000429762,0.000008695823],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834517,0.0001633228,0.001006856,0.0002528222,0.00007058059,0.0005133058,0.008885859,0.00007079315,0.005584836],"genre_scores_gemma":[0.984574,0.0001026158,0.002443619,0.0001305577,0.00003222752,0.001550994,0.009192409,0.00003426449,0.001939269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009143168,"threshold_uncertainty_score":0.04694051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.454051077011181,"score_gpt":0.4647033877922157,"score_spread":0.01065231078103474,"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."}}