{"id":"W4391240500","doi":"10.7202/1108807ar","title":"L’hypertrucage : analyse du phénomène des « deepfakes » et recommandations","year":2024,"lang":"fr","type":"article","venue":"Lex Electronica","topic":"Sexuality, Behavior, and Technology","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université de Moncton","funders":"","keywords":"Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001861093,0.0006565333,0.0002469113,0.001802634,0.00379659,0.009987666,0.001306611,0.003045434,0.01472071],"category_scores_gemma":[0.005234316,0.0004376109,0.0005172401,0.001555144,0.01756116,0.01429131,0.003763366,0.00246236,0.001998339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002616775,"about_ca_system_score_gemma":0.001809426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007574882,"about_ca_topic_score_gemma":0.006920534,"domain_scores_codex":[0.998067,0.0007545462,0.00004927721,0.0003596786,0.0005149071,0.0002545983],"domain_scores_gemma":[0.9967235,0.001657603,0.0003396979,0.000604268,0.0004678028,0.0002071763],"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":[0.00005318832,0.0000199324,0.002715294,0.0002127563,0.00001456403,0.0006483403,0.1033403,0.0003753061,0.002022294,0.8477799,0.006228484,0.03658962],"study_design_scores_gemma":[0.00001587555,0.00008741153,0.007073168,0.0009367025,0.00003132034,0.002675846,0.0865362,0.002853503,0.003214213,0.2164419,0.6800319,0.000101959],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2057233,0.009393241,0.1018595,0.01865149,0.0005553597,0.0001499336,0.0002824396,0.0004327052,0.6629519],"genre_scores_gemma":[0.9050807,0.003369308,0.01340216,0.00124094,0.000142148,0.0001105664,0.0001348971,0.0002348178,0.07628448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01472071,"threshold_uncertainty_score":0.04924566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04128210900781103,"score_gpt":0.3779142773903932,"score_spread":0.3366321683825821,"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."}}