{"id":"W2167964889","doi":"10.57805/revstat.v7i3.83","title":"Comparisons of the Performances of Estimators of a Bounded Normal Mean Under Squared-Error Loss","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mean squared error; Estimator; Mathematics; Bounded function; Statistics; Applied mathematics; Mathematical analysis","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":[0.0003749339,0.00009324941,0.0003480064,0.00003786171,0.0001126512,0.000002287597,0.000248122,0.00002184039,0.0003496999],"category_scores_gemma":[0.000140732,0.00006139606,0.0001006671,0.0001772117,0.0002490993,0.00004886269,0.0001975655,0.0001335638,2.996619e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002360061,"about_ca_system_score_gemma":0.00007166838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007054511,"about_ca_topic_score_gemma":0.00004769589,"domain_scores_codex":[0.9987977,0.0001199224,0.0004665527,0.0001077177,0.0003618817,0.0001462101],"domain_scores_gemma":[0.9986802,0.0006096942,0.0003079174,0.0002921052,0.00007676566,0.00003328779],"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":[0.00007196008,0.0003206008,0.001653668,0.0002881985,0.00005303969,4.335389e-7,0.001272661,0.007177117,0.0005748039,0.9875054,0.000337517,0.000744628],"study_design_scores_gemma":[0.0008601975,0.0003800861,0.001730994,0.0000561426,0.0001316419,0.00001036465,0.005698084,0.1129154,0.018746,0.85898,0.0002881546,0.0002029141],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.345268,0.00001881045,0.651836,0.00007259865,0.00007879508,0.0001630139,0.00007955417,0.00001133538,0.002471913],"genre_scores_gemma":[0.6708486,8.969367e-7,0.3289517,0.0000167997,0.000003268047,0.000009448404,8.871164e-7,0.00000778226,0.0001605697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3255807,"threshold_uncertainty_score":0.3828968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1344171800853401,"score_gpt":0.4203176555449848,"score_spread":0.2859004754596447,"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."}}