{"id":"W4295435784","doi":"10.2196/39312","title":"Reinterpretation of Health Information in the Context of an Emerging Infectious Disease: A Digital Focus Group Study","year":2022,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National University Health System; National University of Singapore","keywords":"Focus group; Misinformation; Thematic analysis; Context (archaeology); Health literacy; Information behavior; Information seeking; Public health; Psychology; Qualitative research; Medicine; Health care; Political science; Sociology; Nursing; Computer science; Geography","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":[0.0194693,0.0007639738,0.0008466472,0.002357873,0.008090772,0.003791177,0.001568133,0.002523283,0.003271886],"category_scores_gemma":[0.02645538,0.000670041,0.0005044679,0.001327111,0.006545523,0.005353638,0.006875349,0.002662335,0.0006846025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002999964,"about_ca_system_score_gemma":0.003690259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004952803,"about_ca_topic_score_gemma":0.006295537,"domain_scores_codex":[0.9908527,0.006610129,0.0003171318,0.0005333615,0.0005445704,0.001142247],"domain_scores_gemma":[0.9712453,0.02214978,0.001711816,0.0007398387,0.002263185,0.001890073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002518163,0.00008356345,0.002810729,0.00007408164,0.000002690789,0.00022763,0.9938618,0.000006928852,0.0005461719,0.0002111269,0.0001485179,0.002001611],"study_design_scores_gemma":[0.00001089135,0.0001687616,0.002480188,0.0001001112,0.000008255292,0.0001305075,0.993008,0.00006490864,0.0002950463,0.0001580473,0.0035617,0.00001352799],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959389,0.0001653762,0.000907053,0.0009417855,0.0000361987,0.0002404658,0.0000455944,0.000008017453,0.001716608],"genre_scores_gemma":[0.9937505,0.0004975414,0.001414197,0.001361835,0.00004268665,0.0006441766,0.00006116214,0.00001990682,0.002208066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0194693,"threshold_uncertainty_score":0.1029648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0287145170541086,"score_gpt":0.3526425377409115,"score_spread":0.3239280206868029,"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."}}