{"id":"W3107990523","doi":"10.2196/23232","title":"Information Sources, Risk Perception, and Efficacy Appraisal’s Prediction of Engagement in Protective Behaviors Against COVID-19 in China: Repeated Cross-sectional Survey","year":2020,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Residence; Self-efficacy; Affect (linguistics); Perception; Risk perception; Psychology; Cross-sectional study; Coronavirus disease 2019 (COVID-19); China; Protective factor; Environmental health; Medicine; Social psychology; Demography; Political science; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001073522,0.0001825918,0.0002311925,0.0003774926,0.0002193866,0.00003753442,0.0001107108,0.0001845802,0.0002613179],"category_scores_gemma":[0.0004330633,0.0001843209,0.00005023203,0.0004299202,0.0001182634,0.0002957916,0.00006254713,0.0005376588,0.00001177695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007053637,"about_ca_system_score_gemma":0.0001514872,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01479161,"about_ca_topic_score_gemma":0.001619608,"domain_scores_codex":[0.9977942,0.0006600044,0.0007139827,0.0003210737,0.0002703424,0.0002403762],"domain_scores_gemma":[0.9990492,0.0001959087,0.000337135,0.0001652958,0.00005058618,0.0002019053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003371878,0.0002730592,0.9184837,0.0001042125,0.00001299558,0.000001229683,0.07950776,0.0002562047,0.0002254949,0.00002052462,0.00007947999,0.0006981117],"study_design_scores_gemma":[0.002824662,0.0004215179,0.9926488,0.00001295136,0.00000435936,7.824883e-7,0.003147067,0.00005078266,0.00001784627,0.000008495252,0.0007338067,0.0001289538],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972205,0.000008781226,0.0001538262,0.00003416512,0.0001786166,0.001716111,0.0004522178,0.0000946275,0.0001411618],"genre_scores_gemma":[0.9986663,0.000007576536,0.000004989208,0.0001671009,0.0000361694,0.0001924098,0.0008957887,0.00001408519,0.00001560941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0763607,"threshold_uncertainty_score":0.991769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09451614227495468,"score_gpt":0.4244164086283379,"score_spread":0.3299002663533832,"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."}}