{"id":"W3159319375","doi":"10.1503/cmaj.1095937","title":"How can clinicians counter viral misinformation?","year":2021,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Misinformation; Seriousness; Coronavirus disease 2019 (COVID-19); Public health; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Pandemic; Over-the-counter; Medicine; Internet privacy; Computer science; Political science; Virology; Computer security; Nursing; Outbreak","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.01690822,0.0009003776,0.001603105,0.002307988,0.006826819,0.01107757,0.002582198,0.0162481,0.02830461],"category_scores_gemma":[0.1729062,0.0006915099,0.001178272,0.001451398,0.006011905,0.01598716,0.004777124,0.02015778,0.01381295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00931928,"about_ca_system_score_gemma":0.04011078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05529556,"about_ca_topic_score_gemma":0.09618918,"domain_scores_codex":[0.986368,0.007360967,0.0007904323,0.0008815311,0.002862188,0.001736825],"domain_scores_gemma":[0.9034253,0.0348236,0.00482218,0.002798355,0.03300417,0.02112625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00013647,0.0002708976,0.004131684,0.000942779,0.0001359271,0.0005514133,0.002037923,0.0001577752,0.0001536878,0.01084363,0.7903398,0.1902981],"study_design_scores_gemma":[0.0005674444,0.0003192938,0.005550554,0.01492286,0.0004017039,0.001363436,0.0174256,0.0006294192,0.0005722249,0.1042634,0.8537475,0.0002364941],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006950493,0.01202803,0.0007371361,0.9726622,0.004244665,0.00004451901,0.00007247717,0.00007995178,0.009436052],"genre_scores_gemma":[0.08696544,0.08750144,0.009511458,0.7765811,0.02578922,0.0005712894,0.0003517755,0.0001669529,0.01256137],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05529556,"threshold_uncertainty_score":0.1099474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01327164803927737,"score_gpt":0.284246744286081,"score_spread":0.2709750962468036,"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."}}