{"id":"W6911763726","doi":"10.5281/zenodo.13349673","title":"L'IA comme complice du formateur","year":2024,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Work (physics); Subject (documents); Initial training","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001352615,0.0002408137,0.0001806696,0.0003245106,0.002875727,0.006114445,0.002520332,0.0001256208,0.01588232],"category_scores_gemma":[0.0005292802,0.0002799327,0.0001013494,0.001484119,0.0003991762,0.00188055,0.0022183,0.0005608518,0.12053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004218495,"about_ca_system_score_gemma":0.00002127152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001617733,"about_ca_topic_score_gemma":0.000001491533,"domain_scores_codex":[0.9970525,0.0005788293,0.0004862397,0.0006874654,0.0005154093,0.0006795601],"domain_scores_gemma":[0.9977734,0.0001161611,0.0001018933,0.0008055089,0.0008941971,0.0003088157],"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":[0.000007847396,0.0001431578,0.000001213175,0.0001555879,0.0000296293,0.00003178715,0.007932055,0.0001442267,0.0005297452,0.2549687,0.3920088,0.3440472],"study_design_scores_gemma":[0.00005906932,0.0001753673,0.0001112035,0.0001831429,0.0000184534,0.0005716406,0.0005882803,0.09145062,0.0008231972,0.005547796,0.9002097,0.0002615293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006376278,0.00397942,0.5924585,0.06133982,0.007003471,0.0009288763,0.0002917221,0.003736757,0.3238851],"genre_scores_gemma":[0.9755141,0.0009280556,0.002751432,0.001255912,0.001840453,1.306273e-7,0.0009339923,0.002342012,0.01443389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9691378,"threshold_uncertainty_score":0.9999653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1390634797547974,"score_gpt":0.3313046771561252,"score_spread":0.1922411974013278,"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."}}