{"id":"W6990905529","doi":"","title":"Eric Martin et Sébastien Mussi, Bienvenue dans la machine. Enseigner à l’ère numérique, Montréal, Écosociété, 2023","year":2023,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Face (sociological concept); Context (archaeology); Agency (philosophy); Resilience (materials science)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001863273,0.0007483242,0.0005020971,0.001576264,0.005401733,0.004857284,0.00109192,0.003334364,0.05859993],"category_scores_gemma":[0.004805717,0.0006689535,0.0002712125,0.002339016,0.002468938,0.00492552,0.001738566,0.003902926,0.01448788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00971943,"about_ca_system_score_gemma":0.009392803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3220863,"about_ca_topic_score_gemma":0.5498642,"domain_scores_codex":[0.9981577,0.0003905057,0.00005477751,0.0002240228,0.0009041114,0.0002689574],"domain_scores_gemma":[0.9969186,0.0007611534,0.0001594199,0.00008557097,0.001462821,0.000612542],"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":[0.00002271888,0.00001306214,0.0004058188,0.0001243072,0.000003029453,0.00005793524,0.001462256,0.00002896844,0.0001488885,0.0147328,0.9262903,0.05670989],"study_design_scores_gemma":[0.000003259129,0.000004604839,0.001584477,0.0001167384,0.000002761185,0.00006093888,0.001104911,0.00001999534,0.0001043608,0.001149304,0.9958371,0.00001163824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002917692,0.36199,0.002737683,0.4247051,0.01782925,0.0000546453,0.0006905281,0.0002377661,0.1888372],"genre_scores_gemma":[0.02999788,0.1424775,0.002012253,0.01893878,0.003951782,0.00008152965,0.0003027578,0.0003276152,0.8019099],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3220863,"threshold_uncertainty_score":0.6404231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04487962380022908,"score_gpt":0.2193782754502094,"score_spread":0.1744986516499803,"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."}}