{"id":"W2266912711","doi":"","title":"Reconnaissance émotionnelle par l'analyse des expressions faciales dans un tuteur intelligent affectif","year":2004,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Psychology; Humanities; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004298488,0.0006317947,0.0003924275,0.0003036825,0.0003208508,0.0007458626,0.000198308,0.0006511487,0.003060031],"category_scores_gemma":[0.002009798,0.0001713113,0.0002560513,0.0001539032,0.0004499766,0.0003756795,0.0003265896,0.0005810354,0.000840042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002478827,"about_ca_system_score_gemma":0.0002563802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008331586,"about_ca_topic_score_gemma":0.006334886,"domain_scores_codex":[0.9996083,0.0001012876,0.000008846122,0.00009573148,0.0001366386,0.00004916704],"domain_scores_gemma":[0.999585,0.0001944148,0.0000325394,0.00002596357,0.0001252116,0.00003685321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001173417,0.00009894987,0.01319023,0.0001320393,0.00006803429,0.001444992,0.004733852,0.005851975,0.7495674,0.001287154,0.003004202,0.2194479],"study_design_scores_gemma":[0.0001328798,0.001467687,0.4709109,0.0001404462,0.0002906255,0.005511973,0.005786486,0.2481742,0.2383024,0.002164881,0.02690781,0.0002097839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.899151,0.0004862993,0.0897975,0.0003518946,0.0001480783,0.00006539134,0.0001323441,0.0006365566,0.009231108],"genre_scores_gemma":[0.9700705,0.0002979973,0.01834375,0.0001104292,0.00004022254,0.0000485009,0.0001028728,0.00009732338,0.01088836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008331586,"threshold_uncertainty_score":0.01656622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03253370631347322,"score_gpt":0.2415080125153354,"score_spread":0.2089743062018622,"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."}}