{"id":"W2019817087","doi":"10.1177/01466216045280142","title":"SIMCAT 1.0: A SAS Computer Program for Simulating Computer Adaptive Testing","year":2006,"lang":"en","type":"article","venue":"Applied Psychological Measurement","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Computerized adaptive testing; Computer science; Computer program; Programming language; Statistics; Psychometrics; 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":[0.003713722,0.0009240267,0.0009472751,0.001034494,0.0003421109,0.0009881398,0.002022883,0.0006919773,0.05130713],"category_scores_gemma":[0.01546601,0.0006942251,0.0008001332,0.00121923,0.0002829061,0.0007267922,0.0007829514,0.002594603,0.006644823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004828829,"about_ca_system_score_gemma":0.001466839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007185446,"about_ca_topic_score_gemma":0.006165637,"domain_scores_codex":[0.9982437,0.001009731,0.0001622177,0.0001578397,0.0002775399,0.0001490858],"domain_scores_gemma":[0.9879726,0.009414878,0.0004725984,0.0009922256,0.0009758868,0.0001718074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003009406,0.001653475,0.0330772,0.00225329,0.001261388,0.0005448892,0.001425883,0.1706779,0.01567413,0.06108665,0.3924336,0.3169023],"study_design_scores_gemma":[0.00124997,0.001165579,0.01913882,0.0002256189,0.000427332,0.0004351449,0.000272597,0.7467606,0.02388241,0.0427086,0.1635111,0.0002223355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.05017071,0.0001881455,0.7960635,0.0003296829,0.0003836624,0.00161396,0.03198331,0.1011588,0.01810819],"genre_scores_gemma":[0.18119,0.000351972,0.7649874,0.0002601543,0.000164229,0.00890279,0.01758524,0.01652056,0.0100376],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.05130713,"threshold_uncertainty_score":0.1716395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1397537546690987,"score_gpt":0.3452510035012429,"score_spread":0.2054972488321442,"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."}}