{"id":"W7026893964","doi":"","title":"Attention : société technologique. Éric Martin et Sébastien Mussi, Bienvenue dans la machine. Enseigner à l’ère numérique, Montréal, Écosociété, 2023, 181 pages","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":"Time line; Cover (algebra); Field (mathematics)","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":[0.001392023,0.002012406,0.001060227,0.004049319,0.003603194,0.007751527,0.001227578,0.003421758,0.08502445],"category_scores_gemma":[0.004017117,0.0007917473,0.000504975,0.008301473,0.002939109,0.009871537,0.003160725,0.003677389,0.02283366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01018856,"about_ca_system_score_gemma":0.006994251,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2045708,"about_ca_topic_score_gemma":0.3534835,"domain_scores_codex":[0.9988876,0.0002193123,0.00005285311,0.000215011,0.0004550632,0.000170163],"domain_scores_gemma":[0.9977757,0.0006859628,0.0001343878,0.00008233136,0.0008907319,0.0004307709],"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":[0.00001072075,0.000006819207,0.0001643818,0.0002147157,0.000005276208,0.00002152665,0.0007627644,0.00002132673,0.00006930469,0.00620959,0.94462,0.04789349],"study_design_scores_gemma":[0.000005684393,0.000004284165,0.001323561,0.000446227,0.000007889696,0.00005677635,0.001135837,0.00004234679,0.00006105817,0.002237005,0.9946693,0.00001012721],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.0005752212,0.7774213,0.001631249,0.1189401,0.01499598,0.00002200394,0.0006860708,0.0003130527,0.0854151],"genre_scores_gemma":[0.02511067,0.5223934,0.001925645,0.01789898,0.01872355,0.0001285181,0.001066142,0.0007040697,0.4120491],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7954292,"threshold_uncertainty_score":0.4067602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03795793833571329,"score_gpt":0.2237569201369513,"score_spread":0.1857989818012381,"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."}}