{"id":"W7075681961","doi":"","title":"Bayesian Treed Models","year":2000,"lang":"en","type":"article","venue":"ScholarlyCommons (University of Pennsylvania)","topic":"Theoretical and Computational Physics","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; University of Chicago; National Science Foundation","keywords":"Bayesian probability; Markov chain Monte Carlo; Simple (philosophy); Set (abstract data type); Markov chain; Parametric statistics; Tree (set theory); Binary number; Variable-order Bayesian network","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.006537348,0.001491965,0.002842274,0.00327888,0.001094595,0.004433401,0.004569131,0.003793102,0.01322659],"category_scores_gemma":[0.02825003,0.001486583,0.002387443,0.004295876,0.001670752,0.0056086,0.002399433,0.003303937,0.004092125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00186543,"about_ca_system_score_gemma":0.001624693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007639907,"about_ca_topic_score_gemma":0.009519185,"domain_scores_codex":[0.9955887,0.002372489,0.0002086697,0.0007836217,0.0008061418,0.0002404608],"domain_scores_gemma":[0.9910402,0.006314573,0.0007969061,0.0007207611,0.0009140992,0.0002135384],"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":[0.0001129926,0.00007261575,0.002776349,0.0002617703,0.0002196273,0.0001316614,0.0002554243,0.3964504,0.0003000962,0.5058464,0.01296558,0.08060721],"study_design_scores_gemma":[0.00003460071,0.00002135585,0.0003553813,0.00006359706,0.00003342645,0.00007812337,0.00002777436,0.7219233,0.00007570048,0.2711953,0.006162242,0.00002925748],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006189986,0.001039507,0.9837384,0.0008815142,0.0001273971,0.0001057552,0.001309928,0.000480502,0.006127081],"genre_scores_gemma":[0.3610178,0.0038949,0.6039776,0.001123942,0.0006094816,0.001387236,0.00532255,0.0005198638,0.02214654],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01322659,"threshold_uncertainty_score":0.04424739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006966037180954587,"score_gpt":0.1773923394101392,"score_spread":0.1704263022291846,"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."}}