{"id":"W2013746363","doi":"10.4018/jeis.2012070103","title":"A Knowledge-Based User Interface to Optimize Curriculum Utility in an E-Learning System","year":2012,"lang":"en","type":"article","venue":"International Journal of Enterprise Information Systems","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Curriculum; Interface (matter); Hypermedia; User interface; Process (computing); The Internet; Multimedia; Domain (mathematical analysis); Task (project management); Human–computer interaction; Personalized learning; World Wide Web; Knowledge management; Teaching method; Engineering; Open learning; Mathematics education; Cooperative learning","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":[0.001513877,0.0001375691,0.0002155271,0.0008522674,0.00004878766,0.0003076002,0.001265199,0.00008436273,0.000009915957],"category_scores_gemma":[0.0001157431,0.0001213853,0.00007990205,0.0003113432,0.00001767923,0.004712764,0.0001556457,0.0003144139,0.0001110477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005113989,"about_ca_system_score_gemma":0.0001871558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002991385,"about_ca_topic_score_gemma":0.000002506922,"domain_scores_codex":[0.9979217,0.0001984283,0.001013623,0.00009946954,0.0005452198,0.0002215792],"domain_scores_gemma":[0.9978078,0.00009714052,0.0006587432,0.0002128645,0.001039981,0.0001834722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002892333,0.002396965,0.6935234,0.0002545534,0.0002969011,0.0000266985,0.02938471,0.1444937,0.0002539201,0.102128,0.004147796,0.02280415],"study_design_scores_gemma":[0.00386852,0.0006859843,0.05873227,0.003137789,0.00002733543,0.0009053028,0.02685989,0.7582171,0.001760606,0.00005679074,0.1448949,0.0008535837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2608439,0.0001155191,0.7319307,0.0004354745,0.004959968,0.0001912836,0.000003350237,0.00006949035,0.001450322],"genre_scores_gemma":[0.990112,0.000002384034,0.009538053,0.00008851589,0.0001970773,0.00002691168,0.00000501464,0.000004654861,0.00002538147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7292681,"threshold_uncertainty_score":0.4949949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01532438183209124,"score_gpt":0.3230575740954716,"score_spread":0.3077331922633804,"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."}}