{"id":"W2293204214","doi":"10.2312/eged.20081005","title":"Graphics based Computer Adaptive Testing and Beyond","year":2008,"lang":"en","type":"article","venue":"Eurographics","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Graphics; Computer graphics; Computerized adaptive testing; Computer graphics (images); Mathematics","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":[0.0003297014,0.0001940398,0.0001814378,0.0002686928,0.000476482,0.0001122184,0.0003859372,0.00006804596,0.000001314457],"category_scores_gemma":[0.00005748438,0.0001854879,0.00008116276,0.0009688007,0.0001543751,0.0002659734,0.0001577408,0.0003381073,0.00001042068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008785988,"about_ca_system_score_gemma":0.00005025731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003783082,"about_ca_topic_score_gemma":0.000002114417,"domain_scores_codex":[0.9985355,0.0001247098,0.0002317742,0.0004515383,0.0003249135,0.0003315514],"domain_scores_gemma":[0.9987661,0.0004367422,0.0001176112,0.0003364462,0.0002143861,0.0001287441],"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":[0.000007751332,0.0001111829,0.1109312,0.00003155673,0.00005295164,0.0004045137,0.001143796,0.00110902,0.0001772554,0.8644045,0.000472016,0.02115428],"study_design_scores_gemma":[0.0007609132,0.00123593,0.1187948,0.0001601363,0.000018241,0.0004879757,0.00004900741,0.8221873,0.0003440737,0.002504942,0.05249,0.0009667033],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05313528,0.0002468181,0.9437315,0.0001546372,0.0004964463,0.0001505004,0.000001388825,0.0003980602,0.001685343],"genre_scores_gemma":[0.7625651,0.00002065677,0.236257,0.0008023782,0.0001862729,0.0000061224,8.213403e-7,0.00001931786,0.0001423397],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8618996,"threshold_uncertainty_score":0.7563978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04996725498959261,"score_gpt":0.2293910578124896,"score_spread":0.179423802822897,"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."}}