{"id":"W7084127746","doi":"10.64628/aap.y64erentk","title":"Demain, tomberez-vous amoureux d'une Intelligence artificielle?","year":2019,"lang":"fr","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Interchangeability; Set (abstract data type); Feature (linguistics); Pattern recognition (psychology)","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":[0.003388308,0.0005161616,0.0006904069,0.001275617,0.002081343,0.005356488,0.0009434296,0.003799288,0.01439529],"category_scores_gemma":[0.0196875,0.0002532778,0.0003519668,0.0009494301,0.003944361,0.007298607,0.002059638,0.003120075,0.00386875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002251547,"about_ca_system_score_gemma":0.002133221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0143487,"about_ca_topic_score_gemma":0.008698699,"domain_scores_codex":[0.9983752,0.0006143572,0.00006048628,0.0002253865,0.0005849235,0.0001396898],"domain_scores_gemma":[0.9957984,0.002185288,0.0001710872,0.0003645651,0.001232818,0.0002478807],"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":[0.0001554277,0.00004571182,0.001000896,0.0002334098,0.00004177689,0.0003659312,0.00204497,0.0007138597,0.0005359011,0.7556599,0.1450678,0.09413451],"study_design_scores_gemma":[0.00003383736,0.00001737897,0.001350165,0.0002388465,0.00001913237,0.0005395772,0.001822856,0.001379324,0.0009403818,0.3334709,0.6601478,0.00003981996],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.02177902,0.135448,0.05613606,0.5260956,0.02016663,0.00005647869,0.0005887727,0.0005492445,0.2391802],"genre_scores_gemma":[0.5960981,0.07670388,0.04080872,0.05025475,0.008179341,0.0002024296,0.0006599055,0.0005417556,0.2265511],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01439529,"threshold_uncertainty_score":0.04815704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03544859788742546,"score_gpt":0.2152126912003576,"score_spread":0.1797640933129321,"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."}}