{"id":"W2148327938","doi":"10.1007/978-3-540-30139-4_60","title":"The Massive User Modelling System (MUMS)","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Ontology; Domain (mathematical analysis); Architecture; Software engineering; Human–computer interaction; System integration; World Wide Web; Database","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001178743,0.00142501,0.001055081,0.0007591535,0.0004972005,0.00184905,0.002780042,0.001382776,0.034123],"category_scores_gemma":[0.005899312,0.001227425,0.001054427,0.0005765032,0.000410309,0.002735275,0.003961324,0.002150555,0.0162959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005209424,"about_ca_system_score_gemma":0.001050337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002861289,"about_ca_topic_score_gemma":0.004024338,"domain_scores_codex":[0.9992765,0.000218051,0.00007340244,0.0001462131,0.0002304673,0.00005538991],"domain_scores_gemma":[0.9983321,0.000586335,0.00006274544,0.0006936561,0.0001666595,0.00015859],"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":[0.002625202,0.0004446181,0.003167753,0.001089949,0.0003427522,0.0004980275,0.001327495,0.04663442,0.03135284,0.04338289,0.255973,0.613161],"study_design_scores_gemma":[0.000458835,0.0002975955,0.001433118,0.000205323,0.0002308493,0.0007363096,0.0001098476,0.5359871,0.03906238,0.0387823,0.3824525,0.000243767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008453687,0.000393622,0.6419694,0.0002361357,0.0001471446,0.0002479836,0.004200288,0.3340536,0.01029798],"genre_scores_gemma":[0.2922548,0.00134391,0.5730053,0.0007047174,0.0001448688,0.001459029,0.02807781,0.05196267,0.05104691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.034123,"threshold_uncertainty_score":0.1141528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02037174832762329,"score_gpt":0.2263691553743082,"score_spread":0.2059974070466849,"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."}}