{"id":"W2095740411","doi":"10.1002/cjs.5550340401","title":"Strictly monotone and smooth nonparametric regression for two or more variables","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monotone polygon; Nonparametric statistics; Mathematics; Nonparametric regression; Regression analysis; Regression; Regression function; Function (biology); Applied mathematics; Isotonic regression; Semiparametric regression; Norm (philosophy); Asymptotic distribution; Statistics; Estimator","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":[0.01153437,0.000799986,0.001044425,0.001275378,0.0003519479,0.001172672,0.001373135,0.001194172,0.001401775],"category_scores_gemma":[0.02755992,0.0004387982,0.0009592898,0.0009846813,0.002718415,0.001639309,0.002285741,0.002154519,0.0002921899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008555488,"about_ca_system_score_gemma":0.001125291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001678597,"about_ca_topic_score_gemma":0.001038256,"domain_scores_codex":[0.9938712,0.003506643,0.0002030848,0.0007693367,0.001411658,0.0002380899],"domain_scores_gemma":[0.9849673,0.009997437,0.001631632,0.001277091,0.001794236,0.0003323304],"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":[0.0004680037,0.0001563089,0.007944276,0.0004492381,0.0003154515,0.0005282426,0.0004392393,0.2182148,0.02815677,0.5562409,0.001814511,0.1852723],"study_design_scores_gemma":[0.00005001841,0.000245943,0.005878248,0.00003469826,0.00004466073,0.0001639463,0.00004177326,0.8617635,0.003884831,0.1252288,0.002605255,0.00005830604],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0270085,0.0002207918,0.9711566,0.000166903,0.00002880446,0.00004318144,0.00003707395,0.00007423326,0.001263953],"genre_scores_gemma":[0.4877202,0.000423596,0.506231,0.0002858372,0.0001750341,0.0002807237,0.0002445298,0.00008570102,0.004553377],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01153437,"threshold_uncertainty_score":0.06100035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07550678361161564,"score_gpt":0.3500672871559255,"score_spread":0.2745605035443098,"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."}}