{"id":"W2159219373","doi":"10.1109/iscis.2007.4456840","title":"Using learning automata to model the &amp;#x201C;learning process&amp;#x201D; of the teacher in a tutorial-like system","year":2007,"lang":"en","type":"article","venue":"","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Process (computing); Computer science; Cellular automaton; Automaton; Artificial intelligence; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.004229436,0.0002997897,0.0003808723,0.0002332055,0.0005418073,0.0002197343,0.001572045,0.000147051,0.000008764143],"category_scores_gemma":[0.0004298549,0.0001828317,0.0001513003,0.001080944,0.00005250413,0.0003674894,0.0005801236,0.0009180311,0.0000610143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003059226,"about_ca_system_score_gemma":0.0001971364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009062926,"about_ca_topic_score_gemma":0.0001845718,"domain_scores_codex":[0.9966734,0.0004242234,0.0007782652,0.0005807795,0.0008373072,0.0007059906],"domain_scores_gemma":[0.998157,0.0002540045,0.0004109888,0.0008123434,0.0002557301,0.0001099868],"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":[0.0000203422,0.00005003279,0.01125877,0.000120191,0.00002816903,0.000001348187,0.01528183,0.9053568,0.009916529,0.05671147,0.00004933672,0.001205184],"study_design_scores_gemma":[0.0003829583,0.0000679974,0.0024769,0.00112783,0.00002186529,0.00006226455,0.004250645,0.8893925,0.000862884,0.0001459706,0.1006067,0.0006015521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.233648,0.00004278894,0.76003,0.0001082919,0.001081961,0.00041111,2.346607e-7,0.0002549279,0.004422732],"genre_scores_gemma":[0.9514928,8.750898e-7,0.02492757,0.00006047887,0.0003662182,0.00001495049,4.711368e-7,0.00003674331,0.0230999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7351024,"threshold_uncertainty_score":0.745566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05888252200435529,"score_gpt":0.315736223668027,"score_spread":0.2568537016636717,"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."}}