{"id":"W2111717613","doi":"10.1109/icalt.2008.64","title":"Expertise Measure for Dynamic Task Selection within Intelligent Educational Systems","year":2008,"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":"Université de Montréal; Université de Sherbrooke","funders":"","keywords":"Task (project management); Computer science; Selection (genetic algorithm); Measure (data warehouse); Human–computer interaction; Order (exchange); Task analysis; Artificial intelligence; Machine learning; Data mining; Engineering; Systems engineering","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":[0.0003208,0.0001419271,0.0001502538,0.0001125595,0.0003562948,0.0001094743,0.0003368179,0.00006216425,0.000009938353],"category_scores_gemma":[0.00007838994,0.0001215215,0.00007978788,0.0002061397,0.00001914585,0.0003022614,0.00003777736,0.0001086849,0.00008607739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002412529,"about_ca_system_score_gemma":0.0001896461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001826363,"about_ca_topic_score_gemma":0.00001571892,"domain_scores_codex":[0.9987084,0.00006432516,0.000318279,0.0003732653,0.0002928407,0.0002429016],"domain_scores_gemma":[0.9991891,0.00008507409,0.0001217051,0.0002118244,0.0003115182,0.000080768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001852528,0.0001623967,0.002759887,0.00007255981,0.00008027496,0.000003677102,0.006764758,0.02820296,0.007026936,0.9460279,0.004823274,0.004056869],"study_design_scores_gemma":[0.0002443789,0.0002449505,0.001610635,0.0001605987,0.000006894205,0.0002867443,0.0004125707,0.9416873,0.005021516,0.0005117898,0.0493062,0.0005064147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01102244,0.0003667543,0.9848096,0.0003019271,0.002091105,0.0003931916,8.525279e-7,0.0001741698,0.0008399984],"genre_scores_gemma":[0.9320283,0.000005767241,0.0143928,0.00005191834,0.000249169,0.0001464622,0.000003416696,0.00001344705,0.05310872],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9704168,"threshold_uncertainty_score":0.4955504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03243293847976422,"score_gpt":0.2647786752524992,"score_spread":0.232345736772735,"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."}}