{"id":"W4410332612","doi":"10.18162/ritpu-2025-v22n1-08","title":"Conception et évaluation d’un agent conversationnel enrichi par la génération augmentée par récupération : effet sur l’acquisition des connaissances des personnes apprenantes, l’utilisabilité perçue et l’expérience d’interaction","year":2025,"lang":"fr","type":"article","venue":"Revue internationale des technologies en pédagogie universitaire","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Augment; Humanities; Psychology; Art; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001593653,0.000545102,0.0004719216,0.0007294957,0.0009243704,0.0006626872,0.001107048,0.000583879,0.00008684222],"category_scores_gemma":[0.002098831,0.0006252027,0.0002850076,0.001171756,0.001931926,0.005408096,0.0004842217,0.000506309,0.00008023901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001848243,"about_ca_system_score_gemma":0.0005013353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007276108,"about_ca_topic_score_gemma":0.001161873,"domain_scores_codex":[0.9957681,0.001176151,0.0007822071,0.001113548,0.0005959002,0.0005641011],"domain_scores_gemma":[0.9958215,0.001551417,0.0006357189,0.0006583065,0.001245019,0.00008805626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003836181,0.001006139,0.05043035,0.001572893,0.0006263355,0.0001547873,0.09227975,0.01197144,0.01399495,0.2121167,0.002206042,0.613257],"study_design_scores_gemma":[0.006416241,0.00187476,0.1915872,0.01064828,0.0006579579,0.0006076898,0.2099298,0.3516191,0.07005361,0.1209775,0.03303707,0.002590775],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7292252,0.004199403,0.2524098,0.006484257,0.001813635,0.0009395,0.00006788162,0.0009067639,0.003953504],"genre_scores_gemma":[0.9807532,0.004831508,0.008940937,0.0001212559,0.0001270176,0.000117128,0.0003662871,0.00002668853,0.004715916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6106662,"threshold_uncertainty_score":0.9996199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04106665658654087,"score_gpt":0.2807224355541835,"score_spread":0.2396557789676426,"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."}}