{"id":"W173992758","doi":"10.1007/978-3-642-25324-9_41","title":"An Hybrid Expert Model to Support Tutoring Services in Robotic Arm Manipulations","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Université du Québec à Montréal","funders":"","keywords":"Computer science; Planner; Task (project management); Human–computer interaction; Domain (mathematical analysis); Key (lock); Intelligent tutoring system; Artificial intelligence; Cover (algebra); Software engineering; Systems engineering","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"],"consensus_categories":[],"category_scores_codex":[0.0008130335,0.0005363517,0.0005407319,0.001193366,0.0002477122,0.0006060076,0.003390909,0.0001805615,0.00002101039],"category_scores_gemma":[0.0000180316,0.0005295005,0.0001011064,0.0004427783,0.0001036127,0.001140874,0.0009147933,0.0006927905,0.00008557916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004226321,"about_ca_system_score_gemma":0.0003312029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002977454,"about_ca_topic_score_gemma":0.000245334,"domain_scores_codex":[0.9960241,0.00003848456,0.0006557268,0.001677611,0.000801976,0.0008021533],"domain_scores_gemma":[0.9978052,0.0001029675,0.0002256481,0.001388166,0.0002097378,0.0002682925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002753118,0.00003862311,0.0001398279,0.00002863563,0.000004364378,0.00009987939,0.004826332,0.8520979,0.0001822146,0.06594528,0.000001858103,0.07663229],"study_design_scores_gemma":[0.0000951203,0.0002547791,0.0001753417,0.0006620741,0.000002818755,0.00004937561,9.74626e-7,0.9656274,0.0008813162,0.03050015,0.001060658,0.0006900232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005508178,0.00009313883,0.9942498,0.0001094166,0.001777695,0.0004003297,0.000001486397,0.0001791222,0.002638237],"genre_scores_gemma":[0.6950098,0.00001044337,0.3017732,0.0009023741,0.0005141818,0.00002067059,0.000004767691,0.00005096071,0.001713593],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.694459,"threshold_uncertainty_score":0.9997156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05306470975387843,"score_gpt":0.2801565801133607,"score_spread":0.2270918703594823,"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."}}