{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004393547,0.00008740255,0.0001644951,0.0004533991,0.0001016586,0.0001369951,0.0005466752,0.00005542742,0.00005603494],"category_scores_gemma":[0.0003087886,0.00007010411,0.00003922325,0.0005521821,0.00004184101,0.0002077179,0.00001415194,0.0002208042,0.00001260529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007721292,"about_ca_system_score_gemma":0.0009611224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003725791,"about_ca_topic_score_gemma":0.001201178,"domain_scores_codex":[0.9991067,0.00007234743,0.0002837616,0.0001017761,0.0001805359,0.0002548542],"domain_scores_gemma":[0.9984776,0.0001372696,0.0002013383,0.0002114018,0.0002798675,0.0006925187],"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":[0.000008200672,0.00001277202,0.001099626,0.00000707201,0.00001821008,0.002294548,0.0003830987,0.00002911145,0.00003085109,0.2156033,0.04822503,0.7322882],"study_design_scores_gemma":[0.002290388,0.0007601042,0.01204466,0.0002635122,0.00007195273,0.005440788,0.00004782107,0.03561059,0.0003427178,0.655583,0.2868103,0.000734187],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001112639,0.0005773451,0.994769,0.0005681759,0.0007227696,0.00003353659,0.00001435991,0.000004062506,0.002198132],"genre_scores_gemma":[0.1028219,0.00009300933,0.8962117,0.0003384119,0.0001280733,2.52166e-7,7.106063e-7,0.000006721677,0.0003991453],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.731554,"threshold_uncertainty_score":0.2858763,"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."}}