{"id":"W2294582357","doi":"10.1109/mis.2013.116","title":"Simulated Learners","year":2013,"lang":"en","type":"article","venue":"IEEE Intelligent Systems","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Human–computer interaction; Data science; Multimedia; Artificial intelligence","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":[0.00172132,0.0005064404,0.0004691849,0.0003416248,0.0005133648,0.002458201,0.001195652,0.00141983,0.02045771],"category_scores_gemma":[0.008851048,0.0001794001,0.0003685991,0.0002596207,0.0006955944,0.001590414,0.002085183,0.001345058,0.005093283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000521392,"about_ca_system_score_gemma":0.001164403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000551236,"about_ca_topic_score_gemma":0.0009340157,"domain_scores_codex":[0.9986089,0.0008140118,0.00007536859,0.0001731887,0.0002199559,0.0001086334],"domain_scores_gemma":[0.996219,0.00164238,0.0001814423,0.0006281255,0.0005882308,0.0007408711],"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":[0.007445191,0.01030276,0.04944786,0.002054547,0.0003171409,0.003343736,0.01452599,0.1084191,0.03163133,0.3157925,0.1099359,0.3467839],"study_design_scores_gemma":[0.001312208,0.008769942,0.005563773,0.0009162185,0.000170322,0.003943475,0.01395624,0.1912487,0.04028229,0.1583603,0.5751779,0.0002986846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5767792,0.001162107,0.2618338,0.005319617,0.001925866,0.00276525,0.002193161,0.001370693,0.1466504],"genre_scores_gemma":[0.8378258,0.001268277,0.06951094,0.001862212,0.0001362025,0.001860634,0.001724597,0.0001326924,0.08567867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02045771,"threshold_uncertainty_score":0.06843787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02604565602380268,"score_gpt":0.245138906592641,"score_spread":0.2190932505688383,"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."}}