{"id":"W2099115046","doi":"10.1109/icc.1998.683066","title":"Quality measures for random variate generation","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Random variate; Convolution random number generator; Computer science; Multivariate statistics; Measure (data warehouse); Quality (philosophy); Gaussian; Multivariate normal distribution; Basis (linear algebra); Random number generation; Probability distribution; Random variable; Data mining; Statistics; Algorithm; Machine learning; 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":[0.01749246,0.001209116,0.001173769,0.005336972,0.0008090957,0.003611252,0.001519914,0.002018331,0.002829799],"category_scores_gemma":[0.09901775,0.0004057685,0.0009556723,0.004104047,0.003882632,0.006032547,0.002147003,0.002236882,0.000679318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00232013,"about_ca_system_score_gemma":0.001139506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007735216,"about_ca_topic_score_gemma":0.0003845442,"domain_scores_codex":[0.9808662,0.00811133,0.001248806,0.00118337,0.008089437,0.0005009023],"domain_scores_gemma":[0.9259219,0.05077228,0.006528203,0.007109445,0.008787129,0.0008810197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001963483,0.00007913398,0.002340339,0.0004933734,0.00009102743,0.00006606711,0.0002479546,0.1156828,0.002161743,0.7460016,0.003692056,0.1289476],"study_design_scores_gemma":[0.00006265051,0.0003748247,0.002146265,0.000299166,0.00007018277,0.0004577328,0.0001702412,0.4088664,0.005066798,0.5620945,0.02023492,0.0001562804],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004282716,0.001363473,0.9904317,0.0002697566,0.00008515512,0.0001091028,0.0001126597,0.0002071962,0.003138199],"genre_scores_gemma":[0.3882612,0.002373027,0.6041756,0.0004230333,0.0005320972,0.0009669518,0.0006465358,0.0003673483,0.002254088],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01749246,"threshold_uncertainty_score":0.09251004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09165366713011877,"score_gpt":0.3054024120167372,"score_spread":0.2137487448866185,"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."}}