{"id":"W2071768380","doi":"10.1214/009117906000000034","title":"Subtree prune and regraft: A reversible real tree-valued Markov process","year":2006,"lang":"en","type":"article","venue":"The Annals of Probability","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Mathematical Sciences; Pacific Institute for the Mathematical Sciences; National Science Foundation","keywords":"Markov chain; Dirichlet distribution; Markov process; Markov property; Hierarchical Dirichlet process; Dirichlet process; Variable-order Markov model; Path (computing); Brownian motion","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":[0.001279868,0.0004019645,0.0006752367,0.0009478037,0.0007063043,0.001409019,0.00127511,0.001217899,0.003250889],"category_scores_gemma":[0.004280151,0.0003584893,0.001150345,0.0007377723,0.0032303,0.002010091,0.00143339,0.002009879,0.0005578793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009518679,"about_ca_system_score_gemma":0.0005764686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001191609,"about_ca_topic_score_gemma":0.001061594,"domain_scores_codex":[0.9994192,0.0002164391,0.00002117194,0.000141872,0.0001308133,0.00007043348],"domain_scores_gemma":[0.9984429,0.0008308364,0.000252976,0.0001759814,0.0001026978,0.0001945672],"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":[0.00002221553,0.000015019,0.0003801895,0.00003070791,0.00001030519,0.0002206933,0.0001981617,0.03075597,0.001993131,0.9605238,0.0003420099,0.005507817],"study_design_scores_gemma":[0.00001487356,0.00002752084,0.0002529819,0.00001812254,0.00001048047,0.0001872101,0.00004834211,0.3512936,0.001307635,0.6436841,0.003122645,0.00003238554],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1081298,0.0008406184,0.881864,0.0007292646,0.00007801898,0.00004449913,0.00009784438,0.00015124,0.008064836],"genre_scores_gemma":[0.8158875,0.00098463,0.1695287,0.0002083012,0.0001978327,0.0001223295,0.0001623361,0.0001296291,0.01277879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003250889,"threshold_uncertainty_score":0.01087534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1430059525250482,"score_gpt":0.3894167694051828,"score_spread":0.2464108168801347,"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."}}