{"id":"W2076179404","doi":"10.1111/j.1751-5823.2001.tb00468.x","title":"The History of the Dirichlet and Liouville Distributions","year":2001,"lang":"en","type":"article","venue":"International Statistical Review","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Dirichlet distribution; Mathematics; Scrutiny; Concentration parameter; Latent Dirichlet allocation; Generalized Dirichlet distribution; Dirichlet integral; Statistics; Probability distribution; Applied mathematics; Subject (documents); Statistical physics; Econometrics; Dirichlet series; Mathematical analysis; Physics; Computer science; Philosophy; Topic model; Information retrieval","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003599164,0.00005191773,0.00009214337,0.000007069589,0.00005742632,0.00001968871,0.0005393132,0.00001308582,0.00005360696],"category_scores_gemma":[0.0007203867,0.00002615824,0.0000385724,0.0000757594,0.0001383499,0.00005349508,0.0001693807,0.0000791647,0.000005515577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007031289,"about_ca_system_score_gemma":0.00005632124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001407148,"about_ca_topic_score_gemma":0.000005403619,"domain_scores_codex":[0.9992936,0.0001076848,0.0001915215,0.000116501,0.000207977,0.00008270443],"domain_scores_gemma":[0.9990913,0.0004858978,0.00007155428,0.0002231254,0.00008886334,0.00003927897],"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":[5.515524e-7,0.000008082792,0.00003257283,0.00001474917,0.000005716485,0.000001220948,0.000006704378,3.268743e-8,0.00000402354,0.7491501,0.03382643,0.2169498],"study_design_scores_gemma":[0.00003745821,0.00000700618,0.002313137,0.0001572908,0.000008617885,0.0000231466,2.363944e-7,0.001523674,0.000002153186,0.09104332,0.9048485,0.00003547029],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000005184389,0.03873369,0.9406366,0.011139,0.0005847522,0.00008947435,0.00002378842,0.000007439946,0.008780058],"genre_scores_gemma":[0.0541279,0.3348366,0.5807421,0.01087253,0.0002692206,0.0001379928,0.00002548499,0.00002151862,0.01896664],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.871022,"threshold_uncertainty_score":0.1066702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0203687129828524,"score_gpt":0.3029683114852487,"score_spread":0.2825995985023962,"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."}}