{"id":"W2496357340","doi":"10.1007/978-3-319-39384-1_5","title":"Nonparametric Estimation of Edge Values of Regression Functions","year":2016,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Control Systems and Identification","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Bounded function; Mathematics; Domain (mathematical analysis); Kernel (algebra); Kernel density estimation; Function (biology); Nonparametric regression; Algorithm; Nonparametric statistics; Applied mathematics; Computer science; Discrete mathematics; Statistics; Mathematical analysis","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":[0.001276363,0.0006057716,0.0007737362,0.0008418775,0.0001821157,0.000911781,0.001311203,0.001100815,0.002021592],"category_scores_gemma":[0.007975611,0.000504911,0.0005480991,0.0008729987,0.000578151,0.001438761,0.001071027,0.0014978,0.0008771602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002205715,"about_ca_system_score_gemma":0.0002142991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003958519,"about_ca_topic_score_gemma":0.0005902647,"domain_scores_codex":[0.9994555,0.000277038,0.00001873513,0.00009257036,0.0001150942,0.00004105333],"domain_scores_gemma":[0.9972079,0.00202934,0.00015955,0.0003320746,0.0002248102,0.00004633653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004451443,0.0001096347,0.004003463,0.0003642121,0.0001123491,0.0001421567,0.0001309137,0.2357187,0.0263176,0.05926964,0.003632639,0.6697536],"study_design_scores_gemma":[0.00001352566,0.00005532948,0.003542522,0.00005589308,0.00002061009,0.0001550513,0.00002394756,0.9329549,0.009171051,0.05073251,0.003248271,0.00002635191],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01252373,0.0003258025,0.9856799,0.00004224942,0.0000187878,0.000007012814,0.00006206143,0.0002738597,0.001066633],"genre_scores_gemma":[0.3608443,0.001299751,0.6286601,0.00008438176,0.0001345843,0.00007895238,0.001125179,0.000524362,0.007248334],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002021592,"threshold_uncertainty_score":0.006762862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186449885808135,"score_gpt":0.2286865537113508,"score_spread":0.2168220548532694,"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."}}