{"id":"W2929890002","doi":"10.1007/978-3-030-16145-3_13","title":"Dynamic Student Classiffication on Memory Networks for Knowledge Tracing","year":2019,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Tracing; Process (computing); Artificial intelligence; Machine learning; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001216224,0.0004980193,0.0005227734,0.000635284,0.0003218833,0.0005469258,0.002449776,0.0003243203,0.000004640361],"category_scores_gemma":[0.00006372348,0.00044958,0.0001930749,0.0003045873,0.0001527291,0.0003268489,0.0005146164,0.0008537452,0.00008184074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000712177,"about_ca_system_score_gemma":0.0003883091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004325594,"about_ca_topic_score_gemma":0.0000267034,"domain_scores_codex":[0.996566,0.0000465404,0.0005451042,0.001560723,0.0006400418,0.0006415762],"domain_scores_gemma":[0.9970568,0.001004032,0.0003863417,0.001143937,0.0003022383,0.000106591],"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":[0.000005525683,0.00003436042,0.00001133755,0.00005144297,0.00001305018,0.000006429266,0.00107068,0.4985523,0.00005305795,0.09159986,0.00001065986,0.4085913],"study_design_scores_gemma":[0.0002278666,0.0003409045,0.0001863559,0.001053371,0.000007331207,0.00001233315,9.865222e-7,0.9885474,0.0001700696,0.003944281,0.004945459,0.000563651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001073365,0.0005757246,0.9882731,0.0001897125,0.005578427,0.000927636,0.000001698261,0.0001532746,0.004193035],"genre_scores_gemma":[0.8330348,0.00005031321,0.1392493,0.0007806176,0.001524685,0.00005633443,0.00001353309,0.0001160767,0.02517443],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8490239,"threshold_uncertainty_score":0.9997956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02384438669247917,"score_gpt":0.2807292675751062,"score_spread":0.256884880882627,"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."}}