{"id":"W1903799253","doi":"10.1002/widm.1094","title":"Bayesian treed response surface models","year":2013,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Computer science; Machine learning; Bayesian probability; Artificial intelligence; Model selection; Bayesian linear regression; Tree (set theory); Inference; Gaussian process; Bayesian inference; Data mining; Mathematics; Gaussian","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002484089,0.0004571412,0.0009739295,0.00009794775,0.0002948996,0.0003869703,0.0009355801,0.0001370189,0.0002549014],"category_scores_gemma":[0.001601875,0.0003364778,0.0001242222,0.0002763531,0.0002661685,0.001934856,0.002907539,0.0002616133,0.0001489472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004613069,"about_ca_system_score_gemma":0.00009730018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000123917,"about_ca_topic_score_gemma":0.00003608944,"domain_scores_codex":[0.9963006,0.001113507,0.0009799952,0.0009308318,0.0001732065,0.0005018193],"domain_scores_gemma":[0.9947262,0.002843627,0.0002755194,0.001804975,0.00008392146,0.000265767],"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":[0.0004709238,0.000608178,0.0004731226,0.001455626,0.0001327409,0.00003712322,0.007392695,6.553577e-7,0.0008913603,0.02521602,0.3086233,0.6546983],"study_design_scores_gemma":[0.001474774,0.0008625135,0.001152721,0.01067291,0.0004962527,0.000204095,0.005011088,0.1080689,0.00009065106,0.8555965,0.01426103,0.002108547],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05789633,0.01727482,0.909988,0.0007322539,0.0005651372,0.001282036,0.000728722,0.0001465438,0.01138616],"genre_scores_gemma":[0.1440364,0.003058936,0.8473524,0.0001201445,0.000311439,0.0001619463,0.000253844,0.0001103288,0.004594613],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8303804,"threshold_uncertainty_score":0.9999087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1615654822828783,"score_gpt":0.4164045060676965,"score_spread":0.2548390237848183,"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."}}