{"id":"W2771930108","doi":"","title":"Comments on \"Envelope models for parsimonious and efficient multivariate linear regression\" by Cook, D. and Li, B. and Chiaromonte","year":2010,"lang":"en","type":"article","venue":"HKBU Institutional Repository (Hong Kong Baptist University)","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Multivariate statistics; Bayesian multivariate linear regression; Envelope (radar); Linear regression; Regression; Statistics; Econometrics; Mathematics; Computer science; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02077405,0.00238581,0.002276808,0.001670831,0.005044318,0.004530393,0.007131848,0.02188205,0.02056581],"category_scores_gemma":[0.1327252,0.001556443,0.002630274,0.003625594,0.006021301,0.006447928,0.003116398,0.02996175,0.01427497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006269293,"about_ca_system_score_gemma":0.008338613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0570636,"about_ca_topic_score_gemma":0.03882639,"domain_scores_codex":[0.9835961,0.006654385,0.001717055,0.001704696,0.005550575,0.0007772311],"domain_scores_gemma":[0.9066205,0.05309955,0.002681877,0.003039838,0.03301508,0.001543108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001441538,0.000005283075,0.00005174608,0.00004954357,0.000005837289,0.00004354059,0.00008141112,0.0001183893,0.00003148157,0.004189231,0.9940002,0.001408855],"study_design_scores_gemma":[0.00005484086,0.00002335351,0.0009523018,0.0004141767,0.00003331974,0.0001468588,0.0003112815,0.001352499,0.0002992292,0.02269659,0.9735773,0.0001382258],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002617825,0.002204314,0.003910336,0.8966053,0.09224717,0.00004987628,0.000609856,0.0002489667,0.003862544],"genre_scores_gemma":[0.005507323,0.003549138,0.006637461,0.8744676,0.07823692,0.0003272953,0.0004885082,0.0004980845,0.0302877],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0570636,"threshold_uncertainty_score":0.1134629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05137397017856358,"score_gpt":0.3241172245211092,"score_spread":0.2727432543425456,"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."}}