{"id":"W4372061104","doi":"10.2196/38323","title":"Ontarians’ Perceptions of Public Health Communications and Misinformation During the COVID-19 Pandemic: Survey Study","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Misinformation; Health Information National Trends Survey; Public health; Descriptive statistics; Pandemic; Likert scale; Medicine; Social media; Population; Psychology; Family medicine; Health care; Demography; Coronavirus disease 2019 (COVID-19); Environmental health; Nursing; Political science; Health information; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.02467234,0.00007783635,0.0001513322,0.0005306587,0.003984739,0.00027674,0.0006454142,0.00005682464,0.000165186],"category_scores_gemma":[0.001580364,0.00005779191,0.00003218562,0.002153787,0.0008366734,0.001399485,0.0002663818,0.0004152762,0.0001258716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005134832,"about_ca_system_score_gemma":0.001144471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01885764,"about_ca_topic_score_gemma":0.06379555,"domain_scores_codex":[0.9944592,0.003281224,0.0005035207,0.00009359293,0.001103105,0.0005594039],"domain_scores_gemma":[0.9969647,0.00146059,0.0001868873,0.0004885891,0.0004902793,0.0004089485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00000922257,0.00009799551,0.08670051,0.00004811007,0.00001707021,6.926292e-8,0.896281,0.000003296114,0.000003535336,0.002969161,0.007580552,0.006289493],"study_design_scores_gemma":[0.0003034483,0.00009006886,0.6161951,0.000006010621,5.881377e-7,0.000001220646,0.366978,0.0002576089,1.727505e-7,0.0001430141,0.01598162,0.00004323067],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798153,0.000032689,0.0002878354,0.01339045,0.00004067582,0.001388372,0.00008971083,0.0001030821,0.004851906],"genre_scores_gemma":[0.9977033,0.001424616,0.00001434708,0.000197081,0.00001655229,0.00005507307,0.00008409876,0.00000509475,0.000499807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5294945,"threshold_uncertainty_score":0.9973119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5379328645239853,"score_gpt":0.5723329668967028,"score_spread":0.03440010237271751,"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."}}