{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004411372,0.001060637,0.002137496,0.001466627,0.000447238,0.002401935,0.003066724,0.00281921,0.009895732],"category_scores_gemma":[0.0161201,0.0008434252,0.001621542,0.002266233,0.001001769,0.002186038,0.001405913,0.002081994,0.003078228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197307,"about_ca_system_score_gemma":0.001211163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005931905,"about_ca_topic_score_gemma":0.004536224,"domain_scores_codex":[0.9972204,0.001381727,0.0001134229,0.000487664,0.0006238323,0.0001729302],"domain_scores_gemma":[0.9952257,0.003394727,0.0004057684,0.0002556827,0.0005989039,0.0001192058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008333032,0.00004688416,0.001673322,0.000264747,0.0001560552,0.00009407075,0.0001453299,0.5349441,0.0005862385,0.4034536,0.008120726,0.05043156],"study_design_scores_gemma":[0.0000188992,0.00001593671,0.0003112864,0.00003555292,0.00002447789,0.00003491158,0.00001405051,0.8518364,0.00007658805,0.1424693,0.005141771,0.00002083594],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006359495,0.001453691,0.982969,0.0009361448,0.0001039885,0.00007087347,0.001248852,0.0004472145,0.006410758],"genre_scores_gemma":[0.50743,0.007711989,0.4391696,0.001357087,0.00054918,0.001444647,0.00441535,0.0005840433,0.03733817],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009895732,"threshold_uncertainty_score":0.03310454,"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."}}