{"id":"W3039979742","doi":"10.1002/cjs.11557","title":"Homogeneity testing under finite location‐scale mixtures","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of British Columbia","funders":"National Natural Science Foundation of China; Natural Science Foundation of Shanghai","keywords":"Homogeneity (statistics); Univariate; Ratio test; Limiting; Likelihood-ratio test; Mathematics; Applied mathematics; Scale (ratio); Statistical hypothesis testing; Statistics; Computer science; Statistical physics; Multivariate statistics; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.03213645,0.001022784,0.002015685,0.002576365,0.001286684,0.002336855,0.00361404,0.002283677,0.003323868],"category_scores_gemma":[0.1867391,0.0009026788,0.002113552,0.001609242,0.006047849,0.006044421,0.003805385,0.002553734,0.0007298855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00177968,"about_ca_system_score_gemma":0.001475612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002667318,"about_ca_topic_score_gemma":0.001450163,"domain_scores_codex":[0.9741377,0.01546224,0.001213012,0.004617343,0.003489274,0.001080328],"domain_scores_gemma":[0.7571869,0.2127331,0.009469638,0.01280701,0.006056992,0.001746296],"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":[0.001556815,0.0002430486,0.04241198,0.0005865389,0.0008253161,0.001904325,0.00130369,0.3498946,0.00979547,0.4554766,0.002625633,0.1333761],"study_design_scores_gemma":[0.0000957196,0.0002370009,0.008981718,0.00007237762,0.00009376997,0.0004552759,0.0002602842,0.6529353,0.006988365,0.3282737,0.001490768,0.0001156699],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06321454,0.0002341679,0.9337274,0.0003548622,0.00003684065,0.0001004565,0.0002110113,0.0004005959,0.001720081],"genre_scores_gemma":[0.8415133,0.0002282919,0.1546975,0.0002593808,0.0001528788,0.0003765104,0.0007412886,0.000190609,0.001840158],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03213645,"threshold_uncertainty_score":0.1699558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1309173343803162,"score_gpt":0.3172173217490399,"score_spread":0.1862999873687237,"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."}}