{"id":"W2121472144","doi":"10.5705/ss.2011.275","title":"Penalized minimum average variance estimation","year":2012,"lang":"en","type":"article","venue":"Statistica Sinica","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Estimation; Statistics; Variance (accounting); Mathematics; Minimum-variance unbiased estimator; Computer science; Econometrics; Mean squared error; 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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009035962,0.0002039307,0.0003713154,0.0000459183,0.0001300495,0.00005228793,0.0001884538,0.00009097727,0.003340934],"category_scores_gemma":[0.01273223,0.0001785225,0.00005563374,0.0001611107,0.0001455648,0.0001451171,0.00006686953,0.0001981828,0.0004335234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004356158,"about_ca_system_score_gemma":0.00006190362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001165868,"about_ca_topic_score_gemma":0.000001229606,"domain_scores_codex":[0.9980513,0.0002987772,0.0005390244,0.0002516044,0.0003362524,0.0005230025],"domain_scores_gemma":[0.9927983,0.00621785,0.0001826178,0.0004251277,0.0001024424,0.0002736761],"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":[0.00003730113,0.0001751838,0.0001258548,0.00007829805,0.00002522849,0.00000585795,0.0003033588,0.000001346137,0.0001833713,0.9594555,0.01085816,0.02875052],"study_design_scores_gemma":[0.0006474354,0.0001092774,0.005243863,0.00006495194,0.00009523698,0.00001866142,0.00003046175,0.01341372,0.0002043667,0.9731126,0.006711208,0.0003481927],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00155831,0.00005189439,0.9703318,0.00019979,0.0004340104,0.000235566,0.0002064288,0.0001118523,0.02687037],"genre_scores_gemma":[0.3564214,0.000007442395,0.6426819,0.0001559349,0.0001065336,0.00002757162,0.00001354038,0.00002302434,0.0005626442],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3548631,"threshold_uncertainty_score":0.9975702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1000502585172472,"score_gpt":0.4140433508398469,"score_spread":0.3139930923225998,"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."}}