{"id":"W3154533874","doi":"10.3390/stats4020021","title":"A Flexible Multivariate Distribution for Correlated Count Data","year":2021,"lang":"en","type":"article","venue":"Stats","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Count data; Multivariate statistics; Negative binomial distribution; Poisson distribution; Statistics; Dispersion (optics); Mathematics; Multivariate analysis of variance; Multivariate normal distribution; Multivariate analysis; Overdispersion; Computer science; 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":[0.01232219,0.001098969,0.001167194,0.002979307,0.001230208,0.002935144,0.003558848,0.002376933,0.008131213],"category_scores_gemma":[0.05229576,0.0007485453,0.001696782,0.005164999,0.003468381,0.005693393,0.003113189,0.005181812,0.002230672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002206049,"about_ca_system_score_gemma":0.002442795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005367917,"about_ca_topic_score_gemma":0.004321763,"domain_scores_codex":[0.9930698,0.003428875,0.0004002118,0.001240375,0.001491979,0.000368672],"domain_scores_gemma":[0.9777212,0.01319551,0.002705856,0.003493409,0.002299556,0.0005843728],"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":[0.00007263669,0.00005686678,0.00703103,0.00015492,0.00005717392,0.0005150498,0.000547325,0.0760629,0.001230856,0.8495249,0.006691423,0.0580549],"study_design_scores_gemma":[0.00004100328,0.00007799987,0.003117938,0.000157395,0.00003085429,0.0007866244,0.0002381428,0.5022343,0.0008703627,0.4742177,0.01811187,0.0001157171],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007226772,0.0001776436,0.988664,0.0006385245,0.00005173422,0.0001180181,0.0004966099,0.0004265935,0.002200075],"genre_scores_gemma":[0.386062,0.001517053,0.5975069,0.001252305,0.0003980629,0.001632521,0.002717568,0.0006698325,0.008243702],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01232219,"threshold_uncertainty_score":0.06516671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2343690777199644,"score_gpt":0.4616250624967598,"score_spread":0.2272559847767954,"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."}}