{"id":"W2995481985","doi":"10.1016/j.bushor.2019.11.006","title":"Deepfakes: Trick or treat?","year":2019,"lang":"en","type":"article","venue":"Business Horizons","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":449,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; University of Victoria","funders":"","keywords":"Leverage (statistics); Computer science; Point (geometry); Internet privacy; Data science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01943652,0.001347961,0.001621161,0.004476155,0.005444475,0.01848991,0.002564444,0.01266103,0.03422096],"category_scores_gemma":[0.09273099,0.0005081841,0.0008042878,0.003167039,0.02581418,0.05781734,0.009265658,0.02098545,0.005243764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00504532,"about_ca_system_score_gemma":0.01071848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007166509,"about_ca_topic_score_gemma":0.0122964,"domain_scores_codex":[0.9919893,0.00385591,0.0003193647,0.000751904,0.002201791,0.0008816655],"domain_scores_gemma":[0.9144128,0.05314103,0.00670364,0.007894801,0.01120551,0.006642176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001840685,0.0001900534,0.00402418,0.0004353191,0.0001208761,0.0002056227,0.003188259,0.0003482375,0.0001855902,0.6292257,0.2345138,0.1273783],"study_design_scores_gemma":[0.0000425475,0.00005742984,0.001671361,0.001083925,0.00006254215,0.0001613635,0.007096761,0.0005394137,0.0002307126,0.8631517,0.1258434,0.00005892888],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.008536818,0.02936174,0.007575849,0.8775234,0.006192445,0.00004449744,0.0002810394,0.0002190015,0.07026523],"genre_scores_gemma":[0.6009558,0.03959129,0.01051331,0.2736476,0.02191642,0.0002229255,0.000229821,0.0005921623,0.05233066],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03422096,"threshold_uncertainty_score":0.1144806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03106560644704494,"score_gpt":0.3141158759580175,"score_spread":0.2830502695109726,"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."}}