{"id":"W4404577851","doi":"10.2196/59317","title":"A Model of Trust in Online COVID-19 Information and Advice: Cross-Sectional Questionnaire Study","year":2024,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council","keywords":"Preprint; Cross-sectional study; Coronavirus disease 2019 (COVID-19); Advice (programming); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Medicine; Computer science; World Wide Web; Virology","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":[0.01140859,0.0005720974,0.0006309316,0.001348077,0.001219325,0.003132258,0.001055166,0.001526407,0.005859789],"category_scores_gemma":[0.03608439,0.0009377344,0.001641331,0.001241682,0.001657347,0.00297284,0.001440418,0.001997621,0.0005521817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003060933,"about_ca_system_score_gemma":0.002502462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01672408,"about_ca_topic_score_gemma":0.00889186,"domain_scores_codex":[0.9927515,0.005251153,0.0003799335,0.0005885529,0.0005187907,0.0005101026],"domain_scores_gemma":[0.9478596,0.03875293,0.006447562,0.001990573,0.003180693,0.001768638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001924577,0.001340648,0.966028,0.0001146151,0.0002187024,0.0003104507,0.01943906,0.001460479,0.0001893338,0.002372124,0.0007302494,0.007603921],"study_design_scores_gemma":[0.0001852883,0.002005778,0.8057263,0.0005011831,0.0004177356,0.001251985,0.04961084,0.1310192,0.0001973522,0.005766135,0.003219997,0.00009827232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99527,0.00008215248,0.002532489,0.0005405169,0.000009651044,0.0001489361,0.0001483731,0.00001015819,0.001257785],"genre_scores_gemma":[0.9980435,0.00008464308,0.001331104,0.00005001038,0.000005056851,0.0001263252,0.0001130668,0.000002793268,0.0002433771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01672408,"threshold_uncertainty_score":0.0603351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0773855155759545,"score_gpt":0.4533236264967047,"score_spread":0.3759381109207501,"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."}}