{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003566996,0.000973387,0.0006028463,0.001642963,0.0002669262,0.002491909,0.001729165,0.001613697,0.009075165],"category_scores_gemma":[0.01713967,0.0003322322,0.0006084598,0.001384249,0.002401713,0.002612848,0.001508794,0.00127442,0.001814523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008385014,"about_ca_system_score_gemma":0.0005426645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001382221,"about_ca_topic_score_gemma":0.0007437592,"domain_scores_codex":[0.994711,0.00329344,0.0002606437,0.000439882,0.001142002,0.0001529225],"domain_scores_gemma":[0.986472,0.009300872,0.000445115,0.002244718,0.001219755,0.0003175515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000307341,0.0001705891,0.004763853,0.0004079423,0.00006317843,0.0003299744,0.0008660799,0.008094287,0.01233734,0.1156344,0.0118484,0.8451766],"study_design_scores_gemma":[0.0002001707,0.001237037,0.01312134,0.0007536066,0.00009752323,0.002479327,0.000577418,0.130101,0.02273745,0.5855836,0.2429159,0.0001955837],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03897959,0.007398194,0.8743482,0.005268816,0.0005047541,0.0006247984,0.000444912,0.007907717,0.06452297],"genre_scores_gemma":[0.448418,0.003279914,0.5287305,0.002132049,0.0003012944,0.0008639251,0.0006211342,0.0006718384,0.01498124],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009075165,"threshold_uncertainty_score":0.03035945,"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."}}