{"id":"W3085733793","doi":"10.2196/21071","title":"Trends and Predictors of COVID-19 Information Sources and Their Relationship With Knowledge and Beliefs Related to the Pandemic: Nationwide Cross-Sectional Study","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":268,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Odds; Information source (mathematics); Social media; Government (linguistics); Mainstream; Coronavirus disease 2019 (COVID-19); Odds ratio; Tracking (education); Newspaper; Psychology; Medicine; Demography; Advertising; Logistic regression; Political science; Sociology; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001476037,0.0001562649,0.0002565841,0.001163401,0.0005772947,0.0008511745,0.0004031353,0.0005286807,0.002640028],"category_scores_gemma":[0.00465566,0.0003670996,0.0004527114,0.00174549,0.0002271315,0.001182854,0.0007561435,0.0009950494,0.0005175598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00043157,"about_ca_system_score_gemma":0.0005902458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0169018,"about_ca_topic_score_gemma":0.02037214,"domain_scores_codex":[0.9991868,0.0001652417,0.0001305729,0.0001462227,0.0002310472,0.0001401397],"domain_scores_gemma":[0.9950519,0.0008978795,0.002321693,0.0002514128,0.0009496439,0.0005273425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001591617,0.00004970377,0.9988751,0.00001432094,0.00001991389,0.00001360233,0.0002077611,0.000007625031,0.00003717968,0.000008592264,0.0001531864,0.0005971099],"study_design_scores_gemma":[0.000001685337,0.00005907972,0.9984753,0.00002086896,0.00001561489,0.00006120015,0.0009796266,0.00010367,0.00002465457,0.000008254626,0.0002462049,0.000003974405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969009,0.0001504235,0.0001023792,0.00009232019,0.000005738556,0.00003510277,0.001898776,0.000004365967,0.000809992],"genre_scores_gemma":[0.9977367,0.0001850113,0.000207601,0.00007921914,0.00001019485,0.00005628943,0.001375753,0.000004388508,0.0003447495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0169018,"threshold_uncertainty_score":0.03360683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0807281193882572,"score_gpt":0.426225686215999,"score_spread":0.3454975668277419,"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."}}