{"id":"W2142982767","doi":"10.1017/s026996481200006x","title":"LIKELIHOOD RATIO AND HAZARD RATE ORDERINGS OF THE MAXIMA IN TWO MULTIPLE-OUTLIER GEOMETRIC SAMPLES","year":2012,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Maxima; Outlier; Order statistic; Mathematics; Hazard ratio; Stochastic ordering; Order (exchange); Statistics; Hazard; Applied mathematics; Confidence interval","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":[0.001533004,0.00006070482,0.00007986922,0.00007216062,0.00009355233,0.00003721463,0.000125805,0.00001566858,0.000009522315],"category_scores_gemma":[0.00256954,0.00003574617,0.00001359402,0.0006083763,0.0001614436,0.0002885246,0.00004236005,0.00007697327,0.000001094314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002031473,"about_ca_system_score_gemma":0.00002145998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002819816,"about_ca_topic_score_gemma":0.00001973524,"domain_scores_codex":[0.9993223,0.00003088305,0.0002773328,0.00006025505,0.0001714906,0.0001377586],"domain_scores_gemma":[0.9987221,0.001074795,0.00006258497,0.00007999516,0.00003306774,0.00002742109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000002774672,0.00008084151,0.05595345,0.0001309656,0.000002733324,1.1513e-8,0.002019118,0.01084699,0.0000647215,0.9290609,0.00002865961,0.001808855],"study_design_scores_gemma":[0.0002418332,0.000009826975,0.6357811,0.00002823121,0.000004072049,0.000004425456,0.0003537795,0.2994926,0.0001421303,0.0637007,0.0001611295,0.00008020255],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762956,0.00004035435,0.02246133,0.0006225267,0.00002691108,0.0002813472,0.0000342876,0.00001171954,0.0002259559],"genre_scores_gemma":[0.9950358,0.000005178604,0.00485853,0.00003899954,0.000007607992,0.00004798627,0.00000336029,0.000001215524,0.000001356888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8653602,"threshold_uncertainty_score":0.3076165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05602853329278688,"score_gpt":0.3127418314312283,"score_spread":0.2567132981384414,"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."}}