{"id":"W4206793402","doi":"10.2196/preprints.19534","title":"Fact or Fiction? Misinformation and Social Media in the Era of COVID-19: An Infodemiology Study (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Saskatchewan","keywords":"Misinformation; Social media; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Preprint; Internet privacy; Judgement; Psychology; Political science; Computer science; Medicine; World Wide Web; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006456114,0.0002403382,0.0003932384,0.005145593,0.002971496,0.007487956,0.0006205309,0.00185783,0.006850587],"category_scores_gemma":[0.05570004,0.000290557,0.0002993052,0.005162005,0.005056022,0.009849526,0.003163351,0.002021201,0.0008902246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002727925,"about_ca_system_score_gemma":0.002001621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007096832,"about_ca_topic_score_gemma":0.006360785,"domain_scores_codex":[0.9952008,0.002394767,0.0004363546,0.000384391,0.001190926,0.0003928691],"domain_scores_gemma":[0.8984181,0.07161359,0.02125837,0.001808902,0.004749235,0.002151803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003367565,0.0003709868,0.3732306,0.00150008,0.0001238453,0.001685412,0.5311247,0.00008575754,0.0003020399,0.02130689,0.01452588,0.0554071],"study_design_scores_gemma":[0.00002146958,0.0001761981,0.3113486,0.001770574,0.0001162946,0.001087856,0.634461,0.0003165297,0.0003787262,0.003984389,0.04627424,0.00006396797],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9558126,0.004427187,0.0003316746,0.01696151,0.0001859438,0.00008588118,0.0004870584,0.000008148063,0.02169999],"genre_scores_gemma":[0.9918486,0.003367083,0.0001991619,0.002115983,0.0004168914,0.0000534447,0.0001909495,0.00001274309,0.001795176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007487956,"threshold_uncertainty_score":0.03414357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1379233814538209,"score_gpt":0.4179989360017391,"score_spread":0.2800755545479182,"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."}}