{"id":"W2021336536","doi":"10.1007/s00362-013-0572-4","title":"The estimation and inference on the equal ratios of means to standard deviations of normal populations","year":2013,"lang":"en","type":"article","venue":"Statistical Papers","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"National Natural Science Foundation of China","keywords":"Standard deviation; Statistics; Mathematics; Standard error; Inference; Estimation; Population; Maximum likelihood; Likelihood-ratio test; Sample size determination; Normal population; Statistical hypothesis testing; Value (mathematics); Econometrics; Computer science; Economics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0003321712,0.00009214299,0.0001684866,0.00002320553,0.0002031328,0.00002416572,0.00008958625,0.00002917857,0.0001442012],"category_scores_gemma":[0.01097886,0.00005135368,0.00002045989,0.00009873485,0.0002153925,0.00005524459,0.00003367358,0.00009806707,0.000005396099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001859296,"about_ca_system_score_gemma":0.00003497916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003072191,"about_ca_topic_score_gemma":0.00007992342,"domain_scores_codex":[0.9989379,0.000146519,0.0003761797,0.0001176829,0.0002716712,0.0001500151],"domain_scores_gemma":[0.9904834,0.008968956,0.0001058214,0.000194302,0.0001665055,0.00008098688],"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":[0.00001934628,0.00001683593,0.0000429508,0.00002013551,0.00000988372,1.077161e-7,0.0002888227,0.0005562584,0.0003299672,0.9625344,0.0002859533,0.03589539],"study_design_scores_gemma":[0.0001169291,0.0001976679,0.003084834,0.0000298269,0.00002914829,3.134863e-7,0.0002633118,0.0246726,0.0001719994,0.9712611,0.0001013616,0.00007088311],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006170792,0.000004445212,0.9889494,0.001069836,0.0000351905,0.0004637324,0.0003180046,0.00001034949,0.002978291],"genre_scores_gemma":[0.5922234,0.000002768859,0.4076251,0.00005672,0.000005340646,0.00004134591,0.000004365288,0.000005709891,0.00003526186],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5860526,"threshold_uncertainty_score":0.9973521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1202896857489931,"score_gpt":0.4337729070999138,"score_spread":0.3134832213509207,"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."}}