{"id":"W4386636102","doi":"10.1007/s44199-023-00062-8","title":"Smoothed Dirichlet Distribution","year":2023,"lang":"en","type":"article","venue":"Journal of Statistical Theory and Applications","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Winnipeg","funders":"","keywords":"Dirichlet distribution; Multinomial distribution; Mathematics; Generalized Dirichlet distribution; Categorical distribution; Concentration parameter; Distribution (mathematics); Marginal distribution; Applied mathematics; Joint probability distribution; Probability distribution; Statistics; Econometrics; Dirichlet's principle; Mathematical analysis; Random variable; Inverse-chi-squared distribution; Distribution fitting","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":[0.005825127,0.0009512994,0.002018845,0.002584047,0.001613763,0.003323248,0.00341853,0.002717193,0.01193928],"category_scores_gemma":[0.0239739,0.001005538,0.00165363,0.003133206,0.003191937,0.005103245,0.001987466,0.003952696,0.00325383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002137647,"about_ca_system_score_gemma":0.001334405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005471072,"about_ca_topic_score_gemma":0.005135202,"domain_scores_codex":[0.9948568,0.002218892,0.0002515707,0.001465013,0.0008012143,0.0004065141],"domain_scores_gemma":[0.9898373,0.006631006,0.0005619705,0.0016232,0.001107135,0.0002392435],"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":[0.0004414773,0.0001279091,0.005883507,0.0003396293,0.0001655568,0.0005268525,0.001218516,0.1837126,0.005358607,0.6512357,0.01304704,0.1379427],"study_design_scores_gemma":[0.00005707176,0.00004151636,0.001480708,0.00008552954,0.00004633587,0.0003401556,0.0001973477,0.5889646,0.002280438,0.3956679,0.01076546,0.00007310102],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01409103,0.0004422213,0.9807719,0.0004299652,0.0001610826,0.0001243351,0.000449791,0.0004938103,0.003035839],"genre_scores_gemma":[0.6021292,0.001406362,0.3717831,0.0007538369,0.0007311219,0.001034943,0.002505497,0.0004037683,0.01925222],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01193928,"threshold_uncertainty_score":0.03994089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0133502267024331,"score_gpt":0.3074035470391437,"score_spread":0.2940533203367107,"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."}}