{"id":"W4211121497","doi":"10.1002/9780470012505.tac053","title":"Continuous Multivariate Distributions","year":2004,"lang":"en","type":"other","venue":"Encyclopedia of Actuarial Science","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Multivariate statistics; Notation; Multivariate analysis; Computer science; Mathematics; Statistics; Arithmetic","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":[0.001744651,0.000683979,0.0005441448,0.002654231,0.0004792193,0.002429243,0.0008844428,0.0007515195,0.006512919],"category_scores_gemma":[0.006590599,0.0002074072,0.0005157957,0.003442261,0.00206946,0.00324923,0.001091534,0.002081612,0.001650365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009639835,"about_ca_system_score_gemma":0.0005593928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008099334,"about_ca_topic_score_gemma":0.0004687872,"domain_scores_codex":[0.9986634,0.0004942438,0.00007274464,0.0002901713,0.0004013559,0.00007811798],"domain_scores_gemma":[0.9970228,0.001569881,0.0003524784,0.00027491,0.0006512264,0.0001286391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002152692,0.00001666044,0.0006666657,0.0001800043,0.00002139924,0.0001678905,0.00008697344,0.004475844,0.0008218954,0.9357044,0.005787195,0.05204951],"study_design_scores_gemma":[0.00001222929,0.00003993649,0.001801437,0.0002099182,0.00002326906,0.0007552529,0.0001024424,0.04786246,0.001068136,0.8600631,0.08802877,0.00003300316],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01694608,0.02951708,0.8843363,0.003606997,0.0007845435,0.00006821866,0.0008650756,0.0003982316,0.06347747],"genre_scores_gemma":[0.6181365,0.05921988,0.2748986,0.002155627,0.005937019,0.0003140511,0.001463741,0.0003053812,0.03756909],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.006512919,"threshold_uncertainty_score":0.02178788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0270048113367066,"score_gpt":0.3470616139638654,"score_spread":0.3200568026271589,"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."}}