{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003129785,0.0007753138,0.001012185,0.002448634,0.0004605227,0.001258663,0.001156016,0.001030274,0.001618209],"category_scores_gemma":[0.01794339,0.0002233124,0.000691412,0.001103973,0.001003725,0.002635888,0.001626543,0.001088331,0.0005370447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001289785,"about_ca_system_score_gemma":0.0005021637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001951558,"about_ca_topic_score_gemma":0.001016489,"domain_scores_codex":[0.9972774,0.0009112744,0.000178634,0.0006116304,0.0008073702,0.0002136534],"domain_scores_gemma":[0.9894689,0.007187453,0.0009541663,0.0008197236,0.00109506,0.0004746269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007893067,0.0005752239,0.02057632,0.0004458843,0.0003332293,0.0002265393,0.0006815004,0.5041248,0.01810761,0.03221883,0.00288985,0.4190309],"study_design_scores_gemma":[0.00002001992,0.0002554557,0.005623585,0.00001982291,0.00003337623,0.00008234927,0.00003224595,0.9741467,0.00234041,0.01663614,0.0007702258,0.00003968919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08601803,0.000608758,0.9095992,0.0001773505,0.00004616923,0.00007102581,0.00009336647,0.0006457252,0.002740277],"genre_scores_gemma":[0.9232208,0.0001402451,0.07544871,0.00004634999,0.00008779683,0.00009705747,0.0001518297,0.00007896137,0.0007282741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003129785,"threshold_uncertainty_score":0.01655203,"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."}}