{"id":"W4406752011","doi":"10.3917/rdm1.064.0325","title":"• M artin Éric et M ussi Sébastien, Bienvenue dans la machine. Enseigner à l’ère numérique , Montréal, éditions Écosociété, 2023, 16 €, 184 pages.","year":2024,"lang":"fr","type":"article","venue":"Revue du MAUSS","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001338059,0.0004036787,0.0004531214,0.00009680756,0.001109498,0.0006060555,0.0006417036,0.0004562697,0.001490362],"category_scores_gemma":[0.0004697131,0.0003990093,0.0004415161,0.002096479,0.001237382,0.0008380934,0.0001688855,0.0007542721,0.001696353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000668673,"about_ca_system_score_gemma":0.0005840351,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03410388,"about_ca_topic_score_gemma":0.04155336,"domain_scores_codex":[0.9962245,0.0007935709,0.000532429,0.000823439,0.000675075,0.0009510029],"domain_scores_gemma":[0.998116,0.0007546733,0.0002529446,0.0003681135,0.0001039558,0.0004042732],"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":[0.000009226915,0.0002372415,0.0008769017,0.0002053151,0.00006737037,0.0005165518,0.03889322,0.0003644785,0.00009947496,0.4096645,0.5201729,0.02889281],"study_design_scores_gemma":[0.0002010516,0.00005254869,0.003709833,0.0007890459,0.00006933297,0.00006083084,0.01941235,0.003244982,0.00001908961,0.02034574,0.9515327,0.0005624662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04792448,0.1282486,0.004744254,0.4312928,0.01441989,0.0009600624,0.002122512,0.0004810447,0.3698063],"genre_scores_gemma":[0.7840275,0.03006926,0.0001836294,0.000875064,0.003132103,0.0001048975,0.00004867671,0.00006579296,0.1814931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.736103,"threshold_uncertainty_score":0.9998462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02200495040777955,"score_gpt":0.2790637425613452,"score_spread":0.2570587921535656,"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."}}