{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002062596,0.0001640732,0.0001906258,0.0001018315,0.0002316775,0.0001766876,0.0006086953,0.0000573605,0.0001262069],"category_scores_gemma":[0.00007007404,0.0001471983,0.00008596641,0.0002774048,0.00002721776,0.0004180745,0.0001880995,0.0001960944,0.0005494934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007473883,"about_ca_system_score_gemma":0.00004087303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001201213,"about_ca_topic_score_gemma":0.000003608351,"domain_scores_codex":[0.9986806,0.00009056262,0.0002630418,0.0003851055,0.0002354865,0.0003451862],"domain_scores_gemma":[0.9992688,0.00008615613,0.0001097232,0.0003383635,0.0000845036,0.000112496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001374363,0.00005947539,0.0003606941,0.000007248533,0.00001127178,0.00001407423,0.002878476,0.0001554837,0.0004563807,0.9420442,0.00763132,0.04637999],"study_design_scores_gemma":[0.0006014325,0.0004071835,0.00279741,0.0001823767,0.000006834796,0.00008956723,0.0002951595,0.3532839,0.002534687,0.001578379,0.6372314,0.0009916621],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01564048,0.0001395657,0.9336813,0.0004396368,0.002328431,0.0001580152,4.05181e-7,0.0004465022,0.04716566],"genre_scores_gemma":[0.8053964,0.00000436377,0.15433,0.0008112134,0.0007327456,0.00001612837,4.438926e-7,0.00001480788,0.03869389],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9404658,"threshold_uncertainty_score":0.7062809,"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."}}