{"id":"W3209529918","doi":"10.5539/cis.v14n4p57","title":"Automatic Identification and Filtration of COVID-19 Misinformation","year":2021,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Misinformation; Disinformation; Computer science; Social media; Identification (biology); Coronavirus disease 2019 (COVID-19); Pandemic; Fake news; Internet privacy; Artificial intelligence; Data science; Computer security; World Wide Web; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001565762,0.00005715885,0.00008462834,0.0002574669,0.0006446515,0.0005726255,0.0001204097,0.00003994499,0.0001068656],"category_scores_gemma":[0.000892864,0.00005599345,0.00001466921,0.0007650956,0.0004535052,0.0133226,0.00005268988,0.00004031876,0.00001810502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006154415,"about_ca_system_score_gemma":0.0007810004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004100193,"about_ca_topic_score_gemma":0.000008847186,"domain_scores_codex":[0.9987916,0.00004349113,0.0004341501,0.00007555158,0.0005167942,0.0001384583],"domain_scores_gemma":[0.9988707,0.00007340737,0.000256963,0.0001250174,0.0004443571,0.0002295721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004810739,0.00001823008,0.0004141164,0.0002442096,0.000004795481,1.993945e-7,0.2559854,0.0002445613,0.0004491327,0.294546,0.002392703,0.4456958],"study_design_scores_gemma":[0.001552871,0.0001098932,0.1597359,0.0001053348,0.00002371071,0.00007809794,0.05698873,0.5956509,0.005894809,0.004518617,0.1747935,0.000547523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6430039,0.00006772772,0.3160802,0.00424105,0.0005301163,0.00039508,0.0000143469,0.0001333786,0.03553422],"genre_scores_gemma":[0.9945381,0.0002389283,0.003437797,0.001681725,0.00002660073,0.000001337244,0.00002568264,0.00000100731,0.00004881136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5954064,"threshold_uncertainty_score":0.9658566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03135108471246531,"score_gpt":0.3356997377740543,"score_spread":0.304348653061589,"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."}}