{"id":"W2169097105","doi":"10.2307/3316071","title":"Blind nonparametric regression","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimator; Nonparametric statistics; Nonparametric regression; Mathematics; Statistics; Regression; Econometrics; Computer science; Applied mathematics; Artificial intelligence","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":[0.006660272,0.0009433302,0.001890781,0.001854281,0.000660954,0.001925747,0.001731039,0.002450859,0.006545637],"category_scores_gemma":[0.03575884,0.0005638166,0.0008862574,0.002222592,0.002768046,0.001995782,0.001969846,0.001937549,0.002849094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001181052,"about_ca_system_score_gemma":0.001994021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004513487,"about_ca_topic_score_gemma":0.002136084,"domain_scores_codex":[0.9945062,0.003095523,0.0001749564,0.0009887209,0.0009627521,0.0002718238],"domain_scores_gemma":[0.9862905,0.008548202,0.0009487988,0.002481105,0.001482536,0.0002488787],"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":[0.0004843531,0.0001099664,0.002420572,0.0003503982,0.0002324526,0.0001355263,0.00008392685,0.2770183,0.003405259,0.3798874,0.01525277,0.3206191],"study_design_scores_gemma":[0.00005308327,0.00004477069,0.0009062564,0.00004681197,0.00003869669,0.0001039362,0.00001304921,0.7353841,0.002137719,0.2539917,0.007230211,0.00004963098],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003318215,0.0005954849,0.9921163,0.0004085561,0.0001310606,0.00002431276,0.0001738988,0.0005141214,0.002718118],"genre_scores_gemma":[0.5676206,0.001882756,0.3926647,0.0007917735,0.001141568,0.0002701825,0.001468842,0.0004233712,0.03373619],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006660272,"threshold_uncertainty_score":0.03522331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03348599288132698,"score_gpt":0.280513925965992,"score_spread":0.247027933084665,"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."}}