{"id":"W2507645579","doi":"10.1109/ssp.2016.7551818","title":"Order-based generalized multivariate regression","year":2016,"lang":"en","type":"article","venue":"","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Multivariate statistics; Mathematics; Monotonic function; Estimator; Bayesian multivariate linear regression; Rate of convergence; Algorithm; Transformation (genetics); Applied mathematics; Parametric statistics; Mathematical optimization; Computer science; Linear regression; Statistics","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":[0.003029561,0.001258172,0.001666859,0.0007535115,0.0004187039,0.0008491219,0.001831435,0.001184027,0.002173128],"category_scores_gemma":[0.007055646,0.000518577,0.00106605,0.001398568,0.00113517,0.001402351,0.001630738,0.001631574,0.0006928094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009693927,"about_ca_system_score_gemma":0.001294554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00462177,"about_ca_topic_score_gemma":0.005459582,"domain_scores_codex":[0.998143,0.001023278,0.00006764253,0.0003281845,0.0003039938,0.0001340287],"domain_scores_gemma":[0.9973187,0.001493817,0.0002841288,0.000503793,0.0003066706,0.00009297582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001048922,0.00004515082,0.0009477141,0.00008643221,0.00008690971,0.00006294016,0.00007005297,0.8471902,0.003290763,0.03530972,0.001231263,0.111574],"study_design_scores_gemma":[0.000006421783,0.00001944292,0.0001412399,0.000002754367,0.000004853185,0.00001392116,0.000004286839,0.991115,0.0004429816,0.007832733,0.0004100088,0.000006400817],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00756752,0.0001227508,0.9915391,0.00008467367,0.00001440977,0.00002027218,0.00002980577,0.0002369639,0.0003845836],"genre_scores_gemma":[0.3342474,0.0004310841,0.6590067,0.0002267782,0.0001185937,0.0001593261,0.0003893484,0.0003487362,0.005071994],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00462177,"threshold_uncertainty_score":0.01602203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02609733030869279,"score_gpt":0.270606059712865,"score_spread":0.2445087294041722,"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."}}