{"id":"W4410738626","doi":"10.1002/cjs.70009","title":"Random discrete probability measures based on a negative binomial process","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Negative binomial distribution; Statistics; Mathematics; Binomial (polynomial); Binomial distribution; Econometrics; Poisson distribution","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.007457575,0.0005566253,0.001122536,0.001979931,0.0006722128,0.001925923,0.002360968,0.001480949,0.005650885],"category_scores_gemma":[0.02259954,0.000539401,0.000923269,0.00127673,0.003463623,0.00392707,0.001396382,0.002284835,0.0007430094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001948006,"about_ca_system_score_gemma":0.0008581721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003090914,"about_ca_topic_score_gemma":0.001829997,"domain_scores_codex":[0.9972295,0.00140443,0.00008395343,0.0003869179,0.0007345346,0.0001605898],"domain_scores_gemma":[0.9923251,0.005331233,0.0007283207,0.0004767924,0.0008951743,0.0002434859],"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":[0.00002471902,0.00001962675,0.0006386067,0.00002790916,0.00001220362,0.00009153671,0.0001038912,0.07934389,0.0008770632,0.9107244,0.0007198505,0.007416281],"study_design_scores_gemma":[0.00002027655,0.0000270408,0.0005233623,0.00003327177,0.0000117714,0.0001355967,0.00005096057,0.5915568,0.0006206083,0.4046263,0.002355631,0.0000383248],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0312372,0.0001923038,0.9631551,0.0004235576,0.00006990988,0.00005848407,0.00008892787,0.0001326437,0.004641858],"genre_scores_gemma":[0.7959743,0.0006213699,0.1924114,0.0003379515,0.000147986,0.0003823052,0.0002781053,0.0001659046,0.009680636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007457575,"threshold_uncertainty_score":0.03943986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01925836262474381,"score_gpt":0.2669676992331632,"score_spread":0.2477093366084193,"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."}}