{"id":"W1176333410","doi":"10.71781/10677","title":"Modélisation des réactions émotionnelles dans un système tutoriel intelligent","year":2009,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Programming language","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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000968311,0.0006305345,0.0006192749,0.0002658922,0.001541789,0.002420861,0.001832098,0.0004649831,0.000980598],"category_scores_gemma":[0.0002119205,0.0006709239,0.0002808424,0.0006960296,0.0001002949,0.001710801,0.000233525,0.0006636938,0.002453111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009790868,"about_ca_system_score_gemma":0.0006089735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004048652,"about_ca_topic_score_gemma":0.001547279,"domain_scores_codex":[0.9960435,0.0004427341,0.001062385,0.001206546,0.000583504,0.0006613516],"domain_scores_gemma":[0.9972826,0.00017329,0.0007935814,0.0007444389,0.0007532017,0.0002529228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003946227,0.0004710634,0.0005629038,0.0001207198,0.0002349751,0.00007275942,0.09963107,0.04817871,0.002185974,0.1792427,0.00007510548,0.6691846],"study_design_scores_gemma":[0.001247214,0.00190511,0.04572317,0.01438987,0.0007432802,0.0004150594,0.07872425,0.2815148,0.1854182,0.01934722,0.3656464,0.004925515],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1066473,0.00140834,0.843419,0.000190005,0.005758535,0.001301823,0.00002627507,0.00002291148,0.04122576],"genre_scores_gemma":[0.7081554,0.0001711023,0.03290502,0.00002161741,0.0008419919,0.00007123303,0.0003559084,0.00005811799,0.2574196],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.810514,"threshold_uncertainty_score":0.9999326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0725576628729952,"score_gpt":0.3121028665924382,"score_spread":0.239545203719443,"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."}}