{"id":"W4382933094","doi":"","title":"Enseigner et apprendre à l'ère de l'intelligence artificielle","year":2023,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal; Université Laval","funders":"","keywords":"Acculturation; Multidisciplinary approach; Perspective (graphical); Mathematics education; Sociology; Mediation; Computer science; Pedagogy; Knowledge management; Psychology; Artificial intelligence; Social science","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":[0.004743612,0.0009734579,0.0006984088,0.001495032,0.001229811,0.009795168,0.001586575,0.003232819,0.02157033],"category_scores_gemma":[0.01683453,0.000517487,0.001042751,0.0009901999,0.002847684,0.007754194,0.004651495,0.003312738,0.009695204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262331,"about_ca_system_score_gemma":0.002371826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004709107,"about_ca_topic_score_gemma":0.004897491,"domain_scores_codex":[0.9942719,0.001979133,0.0002074591,0.000803255,0.002347558,0.0003908384],"domain_scores_gemma":[0.9943083,0.001920008,0.0003330793,0.001673077,0.001309814,0.0004558276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006238741,0.0008512419,0.008776386,0.0006331771,0.000125548,0.001471639,0.006691508,0.01035488,0.04346568,0.1812776,0.02696704,0.7187614],"study_design_scores_gemma":[0.0001018434,0.0005110496,0.009947794,0.0003916752,0.0001681849,0.002018085,0.00411769,0.07181515,0.03929548,0.2026941,0.6687853,0.000153609],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.09065387,0.002860297,0.6747746,0.01418971,0.001722949,0.0004169607,0.0003747955,0.004690146,0.2103167],"genre_scores_gemma":[0.4825641,0.00343998,0.3100482,0.002578396,0.000895856,0.0002291914,0.0009102831,0.0009541577,0.1983799],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02157033,"threshold_uncertainty_score":0.07215995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03543289313449045,"score_gpt":0.2734373472324571,"score_spread":0.2380044540979666,"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."}}