{"id":"W2913578037","doi":"10.1126/science.aaw1315","title":"The misinformation machine","year":2019,"lang":"en","type":"letter","venue":"Science","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Misinformation; Computer science; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002757634,0.0001003182,0.00008716428,0.0001341709,0.002350808,0.00113107,0.001269359,0.0001779092,0.0002400386],"category_scores_gemma":[0.001149668,0.00006303399,0.00004646634,0.0006987337,0.001243464,0.001355854,0.00006903994,0.0005563179,0.002097212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002007756,"about_ca_system_score_gemma":0.001375763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001786852,"about_ca_topic_score_gemma":0.00007020122,"domain_scores_codex":[0.9973858,0.00005868208,0.0002156563,0.0001291815,0.001660672,0.0005500363],"domain_scores_gemma":[0.9989231,0.0002108024,0.0002134941,0.0003757889,0.0002126544,0.00006419203],"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":[5.722756e-7,6.178443e-7,0.000002959624,0.000005459586,9.45472e-7,4.055728e-7,0.007504204,0.000001557671,0.000001625772,0.001694705,0.9800977,0.01068929],"study_design_scores_gemma":[0.00003902737,0.000007411206,0.0001102595,0.00001237513,0.000002020807,0.000001095268,0.001016511,0.0002046039,0.00001067824,0.0002703164,0.998225,0.0001006861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0000894042,0.00007060682,0.00004555999,0.6137737,0.001634483,0.0002209454,0.000006615422,0.00004786077,0.3841108],"genre_scores_gemma":[0.002645324,0.0002571228,0.0000623555,0.9030939,0.001413496,0.000001688384,0.00002177575,0.00000713161,0.09249719],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2916136,"threshold_uncertainty_score":0.9999058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02172819843081511,"score_gpt":0.321071725006856,"score_spread":0.2993435265760409,"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."}}