{"id":"W6982984498","doi":"","title":"L’éducation dans l’oeil de l’IA. Ugo Cavenaghi et Isabelle Senécal, Osons l’école. Des idées créatives pour ranimer notre système éducatif, Montréal, Les éditions Château d’encre, 2017, 145 pages Ugo Cavenaghi et Isabelle Senécal, Osons l’IA à l’école. Préparons nos jeunes à la révolution de l’intelligence artificielle, Montréal, Les éditions Château d’encre, 2019, 153 pages Ugo Cavenaghi et Isabelle Senécal, Osons l’école d’après. Apprendre de la crise pour innover en éducation, Montréal, Les éditions Château d’encre, 2020, 63 pages","year":2021,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Contemporary art, education, critique","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Demotion","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity"],"category_scores_codex":[0.006222914,0.003145029,0.002781342,0.001684317,0.01748556,0.001492019,0.002735056,0.002983219,0.002381744],"category_scores_gemma":[0.003302024,0.003830797,0.001782559,0.005135776,0.00557187,0.006114211,0.001293957,0.004175314,0.0006459493],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01339888,"about_ca_system_score_gemma":0.01248112,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2108775,"about_ca_topic_score_gemma":0.3969484,"domain_scores_codex":[0.9700058,0.01637829,0.003051977,0.003939525,0.002227181,0.004397206],"domain_scores_gemma":[0.9790584,0.009900454,0.002462215,0.003172591,0.002837586,0.002568762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001760369,0.007645051,0.003983484,0.000686423,0.001457504,0.0008303925,0.06495472,0.01031162,0.01090745,0.05696262,0.8395991,0.002485556],"study_design_scores_gemma":[0.002661851,0.0004584613,0.01529671,0.002675004,0.002845315,0.001916096,0.3673096,0.0138669,0.003973064,0.01945632,0.5651695,0.004371236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1595038,0.1455858,0.04530838,0.5922326,0.002476959,0.005319705,0.01171598,0.001727343,0.0361295],"genre_scores_gemma":[0.4055211,0.2898937,0.01141514,0.001841352,0.001915869,0.001537145,0.004290084,0.0006506771,0.2829349],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.5903912,"threshold_uncertainty_score":0.9995445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02263771364010804,"score_gpt":0.2710778727875404,"score_spread":0.2484401591474324,"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."}}