{"id":"W3198264469","doi":"10.2196/27715","title":"US Physicians’ and Nurses’ Motivations, Barriers, and Recommendations for Correcting Health Misinformation on Social Media: Qualitative Interview Study","year":2021,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Texas at Austin","keywords":"Misinformation; Social media; Thematic analysis; Health care; Qualitative research; Psychology; Nursing; Public relations; Medicine; Medical education; Political science; Sociology","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":[0.01584546,0.0003967285,0.0004931429,0.001279468,0.005586247,0.001987492,0.001089856,0.001567223,0.002444855],"category_scores_gemma":[0.01920817,0.0007156593,0.0003935486,0.001276236,0.003685786,0.002407912,0.003861265,0.001671531,0.0003187265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005200462,"about_ca_system_score_gemma":0.007241801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01145564,"about_ca_topic_score_gemma":0.01967847,"domain_scores_codex":[0.9908218,0.006561347,0.0003974934,0.0004551217,0.0005168864,0.001247349],"domain_scores_gemma":[0.9785329,0.01605558,0.00149806,0.0003874773,0.002080575,0.001445511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004677386,0.00006713472,0.007756758,0.000180273,0.000004621696,0.0005232281,0.9856213,0.000024437,0.0006300522,0.0004417865,0.0006064611,0.004097246],"study_design_scores_gemma":[0.000008591451,0.00005710619,0.002527008,0.0001841954,0.000004132165,0.0001183094,0.992561,0.00008300704,0.0002481482,0.0001234996,0.004074686,0.00001027299],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935912,0.0005151613,0.001493004,0.001718021,0.00003039908,0.0003407071,0.000122965,0.000009932911,0.002178701],"genre_scores_gemma":[0.9922428,0.000854682,0.002324054,0.001521412,0.00001938161,0.000991639,0.00009151451,0.00001176283,0.001942715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01584546,"threshold_uncertainty_score":0.08379984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.128035493430433,"score_gpt":0.4492310199790391,"score_spread":0.3211955265486062,"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."}}