{"id":"W7106850333","doi":"10.1016/j.jspi.2025.106369","title":"Homogeneity testing under finite mixtures of multivariate Poisson distributions","year":2025,"lang":"en","type":"article","venue":"Journal of Statistical Planning and Inference","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"National Social Science Fund of China","keywords":"Homogeneity (statistics); Identifiability; Poisson distribution; Asymptotic distribution; Estimator; Multivariate statistics; Resampling; Consistency (knowledge bases); Null distribution","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":[0.0004882463,0.00009133931,0.0002442307,0.0000940709,0.00009768623,0.00006949094,0.0002320795,0.00005512935,0.000002332189],"category_scores_gemma":[0.002073953,0.00006956895,0.00002896773,0.0002325435,0.00008523698,0.0001669196,0.00009332845,0.0002546,2.136249e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001375519,"about_ca_system_score_gemma":0.0001389661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002448074,"about_ca_topic_score_gemma":4.479814e-7,"domain_scores_codex":[0.9990879,0.0001107165,0.0003879315,0.0001257865,0.0001412801,0.0001464163],"domain_scores_gemma":[0.9969235,0.00239458,0.0002198433,0.0001150155,0.0002561297,0.00009091224],"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":[0.00003038999,0.00009864072,0.005999069,0.00007679957,0.00006200072,0.00004557212,0.0002848818,0.0007371471,0.006349397,0.8724397,0.0007399881,0.1131364],"study_design_scores_gemma":[0.0006959669,0.0003760318,0.169807,0.0008731804,0.00007337843,0.00006053384,0.00001882228,0.1210423,0.004002824,0.7025265,0.0003040514,0.000219403],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006036897,0.0003902472,0.9925108,0.0002961821,0.0001347785,0.00002740114,0.00003050118,0.000009343064,0.000563881],"genre_scores_gemma":[0.5639966,0.000006850513,0.4359134,0.00005476838,0.00001374626,3.024464e-7,8.212142e-7,0.000001131153,0.00001245551],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5579597,"threshold_uncertainty_score":0.2836939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04507503910597101,"score_gpt":0.3555337143192451,"score_spread":0.3104586752132741,"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."}}