{"id":"W3155180040","doi":"10.7202/1075896ar","title":"L’intelligence artificielle ou le bouleversement de la représentation","year":2021,"lang":"fr","type":"article","venue":"Écosystème","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; Art","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003541603,0.0001924869,0.0001845676,0.00003969843,0.0002232913,0.001869769,0.0002680214,0.0001378167,0.000291953],"category_scores_gemma":[0.0002877747,0.0001840185,0.0001444212,0.000489658,0.000121579,0.001410106,0.000245193,0.0001746139,0.000639395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000189259,"about_ca_system_score_gemma":0.000620103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001809788,"about_ca_topic_score_gemma":0.000173269,"domain_scores_codex":[0.998135,0.0002416543,0.0003550015,0.0004923556,0.0002957237,0.0004802769],"domain_scores_gemma":[0.998648,0.000225473,0.0001163336,0.0005061471,0.0002371929,0.0002668737],"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":[0.00000617146,0.000548517,0.00004484873,0.00006213746,0.00004233145,0.001315149,0.005739323,0.003060938,0.01028415,0.899653,0.03130947,0.04793398],"study_design_scores_gemma":[0.000282219,0.000137148,0.001414817,0.0003785638,0.00003692904,0.001428281,0.00198373,0.1004262,0.1534945,0.1138813,0.6259737,0.0005625887],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0392767,0.00788732,0.4833389,0.02527994,0.003999641,0.000275386,0.00004123931,0.000193747,0.4397072],"genre_scores_gemma":[0.8021691,0.0002932822,0.006483498,0.001108499,0.0002892649,0.00000780322,0.000027631,0.00001525336,0.1896057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7857717,"threshold_uncertainty_score":0.9991664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1695818053311562,"score_gpt":0.3358340488109662,"score_spread":0.16625224347981,"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."}}