{"id":"W4317040236","doi":"10.54932/uxsg1990","title":"Score-type tests for normal mixtures","year":2023,"lang":"en","type":"report","venue":"","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Ministerio de Ciencia e Innovación","keywords":"Mathematics; Null (SQL); Heteroscedasticity; Null hypothesis; Score test; Asymptotic distribution; Likelihood-ratio test; Applied mathematics; Statistics; Statistical hypothesis testing; Null distribution; Function (biology); Asymptotic analysis; Likelihood function; Econometrics; Maximum likelihood; Test statistic; Computer science; Estimator","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":[0.04016034,0.001448286,0.002327299,0.006180735,0.001262545,0.003869999,0.003515293,0.003077037,0.01098827],"category_scores_gemma":[0.3108971,0.000616901,0.002387156,0.005014908,0.006538264,0.007780043,0.00482084,0.003703665,0.002076404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001170509,"about_ca_system_score_gemma":0.001933458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006995499,"about_ca_topic_score_gemma":0.0006913827,"domain_scores_codex":[0.9513708,0.0332301,0.002184194,0.004339057,0.007916604,0.0009592247],"domain_scores_gemma":[0.72025,0.2424918,0.0104031,0.01565743,0.009064508,0.002133152],"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":[0.0009721035,0.0002562616,0.04140049,0.0004143309,0.0007380972,0.0004413287,0.0006960807,0.05344192,0.003032508,0.6899472,0.007359671,0.2012999],"study_design_scores_gemma":[0.0002750711,0.0005879965,0.01270522,0.0001536558,0.0001610589,0.0006973001,0.0004412374,0.3808344,0.003887431,0.5947651,0.005325689,0.0001659232],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03972054,0.0002156106,0.9523315,0.0004801626,0.000106282,0.0002783342,0.000429199,0.000572772,0.005865577],"genre_scores_gemma":[0.6188998,0.0002930698,0.3720427,0.0005805223,0.0004038664,0.00132581,0.001633686,0.0003945329,0.004426068],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04016034,"threshold_uncertainty_score":0.2123907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1685766694577338,"score_gpt":0.3986090970774446,"score_spread":0.2300324276197108,"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."}}