{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001388588,0.0000751589,0.0001426798,0.0002727422,0.0001243614,0.00006411696,0.0001029498,0.0001666122,0.00006662455],"category_scores_gemma":[0.001364307,0.00006861663,0.00002715638,0.0002714898,0.0002204629,0.001087569,0.00004770668,0.0001837435,0.00001311394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00016846,"about_ca_system_score_gemma":0.0006887249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001513322,"about_ca_topic_score_gemma":0.002001161,"domain_scores_codex":[0.9988914,0.0001342505,0.000539103,0.00009391277,0.000175152,0.0001661907],"domain_scores_gemma":[0.9994561,0.0001389693,0.0001095351,0.00008161181,0.00008109746,0.0001326595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005777796,0.00007559146,0.7742579,0.0001044824,0.000008690015,7.134782e-7,0.1514038,0.01906534,0.000003788599,0.05261584,0.000609406,0.00179668],"study_design_scores_gemma":[0.0005567196,0.00009532945,0.7770037,0.00001892566,0.000003056194,0.000003835002,0.0124306,0.2007862,3.153869e-7,0.005876008,0.003124531,0.0001007373],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939883,0.0000559433,0.001259409,0.0009972794,0.0001416231,0.0003974052,0.00003609892,0.0001157085,0.003008232],"genre_scores_gemma":[0.9983383,0.00005300085,0.000203578,0.001178744,0.0000411097,0.00001681941,0.00002263234,0.000002375377,0.0001433758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1817209,"threshold_uncertainty_score":0.2798105,"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."}}