{"id":"W2058815432","doi":"10.1080/00949655.2012.739621","title":"Prediction based on linear combinations of order statistics and bivariate concomitants in the case of multivariate elliptical distributions","year":2012,"lang":"en","type":"article","venue":"Journal of Statistical Computation and Simulation","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Elliptical distribution; Bivariate analysis; Order statistic; Combinatorics; Joint probability distribution; Order (exchange); Multivariate statistics; Distribution (mathematics); Multivariate random variable; Multivariate normal distribution; Skew; Statistics; Random variable; Mathematical analysis; Physics","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":[0.001996182,0.0005849763,0.0008497625,0.0005897119,0.0002684444,0.000731572,0.0007712473,0.0005572878,0.0007709475],"category_scores_gemma":[0.006506892,0.0004971602,0.0006854123,0.0006297073,0.0007507313,0.001815725,0.0008637153,0.0009981242,0.0002596858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004810613,"about_ca_system_score_gemma":0.0006807791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004664374,"about_ca_topic_score_gemma":0.004819065,"domain_scores_codex":[0.9993972,0.0001661699,0.00003761166,0.0001525102,0.0001624307,0.00008408401],"domain_scores_gemma":[0.9974487,0.001503868,0.0003662613,0.0002947768,0.0002950878,0.00009128075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002684862,0.00006062052,0.01967653,0.00005572032,0.00007532002,0.000429153,0.0001884681,0.8810979,0.005194923,0.03495329,0.0006064605,0.0573932],"study_design_scores_gemma":[0.000002947815,0.000009221885,0.00101059,0.000003823559,0.000006370863,0.00002611765,0.000007147437,0.9950116,0.0003242333,0.003480356,0.0001097332,0.000007913318],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1095914,0.0001919971,0.888867,0.0001088329,0.00002006808,0.00002425697,0.00007222922,0.000220831,0.0009032236],"genre_scores_gemma":[0.9252494,0.0003196062,0.07251305,0.00005281815,0.00004949395,0.00003858234,0.0001761668,0.00004552879,0.001555366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004664374,"threshold_uncertainty_score":0.01055688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07540745356834039,"score_gpt":0.397529665756082,"score_spread":0.3221222121877416,"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."}}