{"id":"W4416298245","doi":"10.1016/j.jmva.2025.105519","title":"Random correlation matrices generated via partial correlation C-vines","year":2025,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Random Matrices and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Correlation; Random variable; Partial correlation; Random matrix; Distance correlation","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003504784,0.0008287572,0.0009694495,0.001566124,0.000679806,0.001155316,0.001467973,0.0007898991,0.006216206],"category_scores_gemma":[0.0167833,0.0006199651,0.001169922,0.001995944,0.001361363,0.001628248,0.001975931,0.001445588,0.001213067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022418,"about_ca_system_score_gemma":0.00131437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002514437,"about_ca_topic_score_gemma":0.002804113,"domain_scores_codex":[0.997663,0.001103701,0.00009350204,0.0003917843,0.0005190708,0.0002289652],"domain_scores_gemma":[0.9899536,0.005960341,0.0006248973,0.001772101,0.001363112,0.0003259951],"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":[0.0002486545,0.00007688161,0.00158685,0.0001266959,0.00006654285,0.0002252705,0.0001571914,0.4412178,0.004983628,0.473402,0.003831693,0.07407683],"study_design_scores_gemma":[0.00003053655,0.00005240253,0.0003263942,0.00002387385,0.00001341319,0.00008697652,0.00001933849,0.9339215,0.00277033,0.06033901,0.002382558,0.00003365501],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01365051,0.00006055702,0.9837123,0.0000758871,0.00003202857,0.0001332204,0.0001837007,0.0002858048,0.001865861],"genre_scores_gemma":[0.348533,0.0003064082,0.6402624,0.0001873282,0.00006204806,0.0008849222,0.001237086,0.0002656586,0.008261154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006216206,"threshold_uncertainty_score":0.02079523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01851670821671552,"score_gpt":0.3207405038308993,"score_spread":0.3022237956141838,"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."}}