{"id":"W2601927946","doi":"10.5539/ijsp.v6n3p1","title":"Estimation of Multivariate Smooth Functions via Convex Programs","year":2017,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimator; Mathematics; Smoothness; Mathematical optimization; Multivariate statistics; Function (biology); Applied mathematics; Upper and lower bounds; Convex function; Regular polygon; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004387768,0.001358413,0.001839006,0.001575864,0.0004574548,0.001706538,0.001500871,0.001495249,0.001111793],"category_scores_gemma":[0.01445497,0.001120038,0.001330059,0.001312524,0.001937341,0.00222238,0.002127904,0.002811891,0.0002535651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001079607,"about_ca_system_score_gemma":0.001669023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002704162,"about_ca_topic_score_gemma":0.001994744,"domain_scores_codex":[0.9981087,0.0009982242,0.00007516019,0.000309027,0.0004079095,0.0001009117],"domain_scores_gemma":[0.993619,0.004903791,0.0005722409,0.0003121598,0.000478233,0.0001147443],"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":[0.00005991148,0.00003423946,0.0008833936,0.0001048924,0.00007911869,0.00007709141,0.00005638149,0.9110954,0.001939608,0.04123521,0.0006186614,0.04381596],"study_design_scores_gemma":[0.000002765898,0.000007186109,0.00007591793,0.000004639303,0.000003497244,0.000007890666,0.000002327432,0.9930286,0.0002730613,0.006421687,0.0001676292,0.000004760231],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001993112,0.00006170928,0.9977167,0.00005122177,0.000005114086,0.000009081726,0.00001450979,0.00004362093,0.0001048847],"genre_scores_gemma":[0.2109184,0.0006827026,0.7852477,0.0001274045,0.0001248159,0.0003063481,0.0003326619,0.000165665,0.002094157],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004387768,"threshold_uncertainty_score":0.02320498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06888472118884144,"score_gpt":0.3887270926876937,"score_spread":0.3198423714988523,"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."}}