{"id":"W2126968527","doi":"10.1109/ccece.1998.685545","title":"Computerized adaptive tutor: educating financial investors","year":2002,"lang":"en","type":"article","venue":"","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"TUTOR; Computer science; Domain (mathematical analysis); Domain knowledge; Knowledge management; Finance; Artificial intelligence; Mathematics education; Psychology; Business; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006229319,0.0003537241,0.0001979832,0.0003466585,0.0002079632,0.001170251,0.0006393849,0.001075739,0.006173929],"category_scores_gemma":[0.004540535,0.00008444385,0.0001352777,0.0002795623,0.0002957591,0.001416867,0.0008279154,0.0004670724,0.001274681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003596835,"about_ca_system_score_gemma":0.0005252903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000542954,"about_ca_topic_score_gemma":0.0006665377,"domain_scores_codex":[0.999657,0.0001597737,0.00001700988,0.0000416831,0.00009075646,0.00003369066],"domain_scores_gemma":[0.9990243,0.0006278965,0.0000614454,0.0000495903,0.0001150695,0.0001217197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000897488,0.001662397,0.008703054,0.0003531902,0.00003986643,0.0003420974,0.001396942,0.01109841,0.01370146,0.02058236,0.02035354,0.9208693],"study_design_scores_gemma":[0.002143254,0.009495203,0.02538317,0.0006689195,0.0004818731,0.005077743,0.003065607,0.3092778,0.1008091,0.06684133,0.476493,0.0002630105],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3691546,0.002845423,0.5421718,0.003457487,0.0005657835,0.0006831724,0.0002391921,0.008811573,0.07207091],"genre_scores_gemma":[0.7855223,0.00164702,0.18848,0.0007404341,0.0001328806,0.000353676,0.0002951823,0.0001047231,0.02272373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006173929,"threshold_uncertainty_score":0.0206539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04226268600024267,"score_gpt":0.2193511531507554,"score_spread":0.1770884671505127,"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."}}