{"id":"W2000206349","doi":"10.1016/j.csda.2004.07.027","title":"Comparisons of improved risk estimators of the multivariate mean vector","year":2004,"lang":"en","type":"article","venue":"Computational Statistics & Data Analysis","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor; Saint Mary's University","funders":"","keywords":"Multivariate statistics; Mathematics; Estimator; Statistics; Multivariate analysis; Multivariate normal distribution","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":[0.000556703,0.0001769713,0.0006170054,0.0001206017,0.0001437418,0.00001646144,0.0005883086,0.00004791757,0.00004512503],"category_scores_gemma":[0.003194433,0.0001330016,0.0001339328,0.0007531799,0.0002610275,0.00008614565,0.000328665,0.0001711551,0.000001774271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004521749,"about_ca_system_score_gemma":0.0001417924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001136039,"about_ca_topic_score_gemma":0.0005121614,"domain_scores_codex":[0.9979557,0.0002136889,0.0008125302,0.000368904,0.0004662337,0.0001829051],"domain_scores_gemma":[0.9947523,0.003028307,0.0008532939,0.0008900131,0.0003896604,0.00008643654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002870106,0.0002980065,0.001928713,0.00008372554,0.001511974,0.000001465838,0.0002586556,0.3531353,0.0000853003,0.6398562,0.0003316053,0.002480367],"study_design_scores_gemma":[0.0003298776,0.00001926753,0.01616597,0.00001427689,0.001740109,4.157681e-7,0.00001693568,0.5117822,0.00005207566,0.4697723,0.00001689018,0.00008972795],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004140355,0.00002229394,0.9700162,0.00004182191,0.00006138667,0.0001793865,0.02549964,0.00001673166,0.00002217344],"genre_scores_gemma":[0.3739846,0.00000425298,0.6253976,0.000008614266,0.000009646533,0.000002912869,0.0005730593,0.00001167175,0.000007686865],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3698442,"threshold_uncertainty_score":0.5423646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1202524376870557,"score_gpt":0.4349043985277346,"score_spread":0.3146519608406789,"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."}}