{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007933601,0.0004075517,0.000491097,0.0004329222,0.0002969538,0.0002011283,0.0005218018,0.0006865754,0.005991132],"category_scores_gemma":[0.0001038147,0.0004330911,0.0002651289,0.001010871,0.0006317404,0.0002686706,0.0001205673,0.001337923,0.001938088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004560951,"about_ca_system_score_gemma":0.0003648355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00166544,"about_ca_topic_score_gemma":0.009090264,"domain_scores_codex":[0.9965088,0.0006562193,0.0005724504,0.0008823578,0.0001684096,0.001211723],"domain_scores_gemma":[0.9983353,0.0004219511,0.00009278101,0.0009206661,0.00007929945,0.0001499777],"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":[0.00006146664,0.0009346476,0.01140988,0.0001031006,0.0007366313,0.000209012,0.003060591,0.000005391366,0.005144086,0.6507798,0.06150116,0.2660542],"study_design_scores_gemma":[0.0005548978,0.0006790933,0.005530765,0.00008284882,0.0006047414,0.0004666962,0.0005304164,0.000182898,0.001101211,0.03472474,0.9550689,0.0004727286],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5765057,0.1820199,0.004096561,0.06731686,0.008963197,0.0006572569,0.0001553649,0.001681389,0.1586038],"genre_scores_gemma":[0.8673896,0.005549985,0.0008479689,0.001205751,0.001252841,0.0001450993,0.000215458,0.000131436,0.1232618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8935678,"threshold_uncertainty_score":0.9998121,"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."}}