{"id":"W1971566331","doi":"10.1239/aap/1275055237","title":"Conditionally identically distributed species sampling sequences","year":2010,"lang":"en","type":"article","venue":"Advances in Applied Probability","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Independent and identically distributed random variables; Sequence (biology); Conditional independence; Dirichlet distribution; Poisson sampling; Random variable; Sampling (signal processing); Poisson distribution; Discrete mathematics; Combinatorics; Statistics; Slice sampling; Importance sampling; Mathematical analysis; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006999887,0.0007665257,0.001378194,0.001891945,0.001104392,0.001625916,0.002401377,0.002161877,0.006405644],"category_scores_gemma":[0.02735423,0.0006042776,0.001368322,0.001612479,0.003873701,0.005614044,0.001996978,0.003372242,0.001202891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604269,"about_ca_system_score_gemma":0.001408857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001356684,"about_ca_topic_score_gemma":0.001397614,"domain_scores_codex":[0.9956461,0.001828665,0.0002194227,0.0009640863,0.001051824,0.0002898312],"domain_scores_gemma":[0.9861072,0.00866599,0.001258293,0.001874516,0.001523181,0.0005708078],"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":[0.00004799761,0.00001667095,0.0008381256,0.00005523817,0.00001799584,0.0001147644,0.0001294847,0.02446981,0.0009898427,0.9628006,0.0005774153,0.009942017],"study_design_scores_gemma":[0.00002585386,0.00005361465,0.0004300888,0.00004274834,0.00001893933,0.0002403786,0.00006547439,0.159948,0.001456384,0.8318077,0.005868913,0.00004185244],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01914183,0.000235025,0.9766489,0.0003232278,0.00007776474,0.00006431497,0.0002052896,0.0001270216,0.003176736],"genre_scores_gemma":[0.5945699,0.001101214,0.3876223,0.000970877,0.0003330535,0.0005540739,0.001580663,0.0002330393,0.01303484],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006999887,"threshold_uncertainty_score":0.03701937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02020482066945352,"score_gpt":0.2953383396460619,"score_spread":0.2751335189766084,"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."}}