{"id":"W4206635801","doi":"10.2174/1874944502114010592","title":"The Appraisal and Endorsement of Individual and Public Preventive Measures to Combat COVID-19 and the Associated Psychological Predictors among Chinese Living in Canada","year":2021,"lang":"en","type":"article","venue":"The Open Public Health Journal","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Memorial University of Newfoundland; Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Public health; Pandemic; Affect (linguistics); Psychology; Medicine; Critical appraisal; Moderation; Risk perception; Perception; Gerontology; Coronavirus disease 2019 (COVID-19); Clinical psychology; Demography; Social psychology; Disease; Alternative medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000480159,0.0002759987,0.0001963417,0.0006692226,0.00163145,0.0008021424,0.0004385626,0.000314206,0.001606121],"category_scores_gemma":[0.002006151,0.0001706034,0.0004066401,0.00122316,0.000690893,0.0002636955,0.0006816682,0.0007955931,0.00009251267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004851518,"about_ca_system_score_gemma":0.007641263,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8551447,"about_ca_topic_score_gemma":0.8959647,"domain_scores_codex":[0.9996179,0.00003780703,0.00003099874,0.00004765752,0.0001220363,0.0001435386],"domain_scores_gemma":[0.9984629,0.0001064601,0.0005417627,0.00004972549,0.0002951581,0.0005439148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001949947,0.00001996937,0.9980648,0.000009472589,0.00001093588,0.00002883968,0.0006193272,0.00001788333,0.00006156038,0.00002065567,0.00009798025,0.001029064],"study_design_scores_gemma":[0.000001173577,0.00001321676,0.9982491,0.000006926821,0.000005395797,0.00001556219,0.001515302,0.0000734716,0.0000172842,0.00000924322,0.00009015658,0.000003166802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991253,0.00009634083,0.00001533173,0.0001331713,0.000002975926,0.000008097989,0.0001466124,9.032327e-7,0.0004711867],"genre_scores_gemma":[0.9995211,0.00009936369,0.00003462154,0.00002518684,0.000002816949,0.000003837739,0.000125608,5.432099e-7,0.0001868174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1448553,"threshold_uncertainty_score":0.2914166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1108836934639247,"score_gpt":0.4417613811025843,"score_spread":0.3308776876386596,"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."}}