{"id":"W1986005174","doi":"10.4236/am.2012.312a292","title":"A New Randomized P&amp;#243;lya Urn Model","year":2012,"lang":"en","type":"article","venue":"Applied Mathematics","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Combinatorics; Bounded function; Martingale (probability theory); Sequence (biology); Limit (mathematics); Class (philosophy); White (mutation); Mathematical analysis; Statistics; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003964286,0.001137977,0.002960335,0.001008926,0.001035576,0.003103054,0.006804876,0.003428371,0.00917377],"category_scores_gemma":[0.007397803,0.0009721493,0.001639376,0.001324736,0.003008043,0.004995733,0.003266987,0.004040664,0.001788602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002572447,"about_ca_system_score_gemma":0.00202465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00648237,"about_ca_topic_score_gemma":0.00498238,"domain_scores_codex":[0.9965749,0.001313962,0.0001092121,0.0009560017,0.0006323137,0.0004136287],"domain_scores_gemma":[0.9965656,0.00155872,0.0005419455,0.0004363719,0.0005363165,0.0003610083],"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":[0.0002477545,0.0001095707,0.0008836414,0.0001017594,0.00009511418,0.0002949761,0.000148515,0.3791128,0.001721453,0.6002313,0.003559211,0.01349389],"study_design_scores_gemma":[0.00004238605,0.00002717601,0.0001066956,0.000009558846,0.00001731273,0.00005312479,0.00001244716,0.9486727,0.0001820806,0.04898429,0.001868201,0.00002404299],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02627803,0.0005907195,0.9624498,0.001423347,0.000235909,0.0001107458,0.0005883339,0.0004699287,0.007853185],"genre_scores_gemma":[0.7449424,0.001137024,0.2031069,0.001099696,0.0004557101,0.0006987878,0.001021162,0.000344603,0.04719376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00917377,"threshold_uncertainty_score":0.03068936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03441963345029043,"score_gpt":0.2815762401596415,"score_spread":0.2471566067093511,"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."}}