{"id":"W2608930119","doi":"10.3390/axioms6020011","title":"Multivariate Extended Gamma Distribution","year":2017,"lang":"en","type":"article","venue":"Axioms","topic":"Statistical Mechanics and Entropy","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Multivariate statistics; Mathematics; Gamma distribution; Limiting; Statistics; Multivariate analysis; Conditional probability distribution; Multivariate normal distribution; Probability density function; Econometrics; Applied mathematics; Matrix t-distribution; Statistical physics; Function (biology); Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002580343,0.000870778,0.001149776,0.002109912,0.0006649345,0.002228676,0.001581297,0.001378572,0.007020879],"category_scores_gemma":[0.00850407,0.000414603,0.001323298,0.00242974,0.002468753,0.003899483,0.001417384,0.002119476,0.001367129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645175,"about_ca_system_score_gemma":0.001060833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004314249,"about_ca_topic_score_gemma":0.002369344,"domain_scores_codex":[0.9985561,0.0004980757,0.00005358604,0.000356653,0.0003385189,0.0001970485],"domain_scores_gemma":[0.9961883,0.001641162,0.0006162947,0.0005442259,0.000804736,0.0002052417],"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":[0.00004151765,0.00001626337,0.001939786,0.00006451418,0.00004475633,0.000292086,0.0001637953,0.0251386,0.0009975171,0.9509652,0.002714426,0.01762144],"study_design_scores_gemma":[0.00002233069,0.00005136781,0.002158781,0.00007089305,0.00004963218,0.0008082798,0.0001234136,0.162352,0.0006772909,0.8174604,0.01615565,0.00007005162],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0670012,0.002221031,0.9063123,0.00144297,0.0002586962,0.00007859172,0.00108211,0.0005921497,0.02101084],"genre_scores_gemma":[0.8733556,0.004742946,0.0930822,0.0009025782,0.0008089501,0.0003051041,0.00124462,0.0002543211,0.0253037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007020879,"threshold_uncertainty_score":0.02348721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01649427477964037,"score_gpt":0.2963764973965593,"score_spread":0.2798822226169189,"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."}}