{"id":"W2102736136","doi":"10.1093/molbev/msg042","title":"Comparison of Bayesian and Maximum Likelihood Bootstrap Measures of Phylogenetic Reliability","year":2003,"lang":"en","type":"article","venue":"Molecular Biology and Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":521,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Canadian Institutes of Health Research; Centre National de la Recherche Scientifique; Killam Trusts","keywords":"Posterior probability; Statistics; Bayesian probability; Nonparametric statistics; Bayesian inference; Phylogenetic tree; Bootstrapping (finance); Mathematics; Resampling; Biology; Marginal likelihood; Econometrics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.03690278,0.0008764117,0.001326644,0.006466439,0.0006901228,0.002478369,0.001818516,0.002124032,0.001447578],"category_scores_gemma":[0.2557508,0.0008101136,0.001018655,0.003896586,0.002526139,0.004597541,0.002483338,0.001691946,0.0006251685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007402269,"about_ca_system_score_gemma":0.0006432131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000462293,"about_ca_topic_score_gemma":0.0004028935,"domain_scores_codex":[0.973227,0.01781649,0.001558117,0.001451514,0.005332743,0.0006142088],"domain_scores_gemma":[0.7231261,0.2366883,0.01238767,0.01404969,0.01219885,0.001549367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003416413,0.0003720208,0.2114931,0.002253471,0.002713806,0.0008192002,0.00460304,0.3065458,0.01189208,0.1513109,0.004476302,0.3001038],"study_design_scores_gemma":[0.0002613275,0.0007552951,0.1450773,0.0005868217,0.0003866504,0.001986672,0.001283841,0.5786608,0.01042971,0.2555653,0.004467387,0.0005389106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5191915,0.004072553,0.4674933,0.0006782038,0.0001038252,0.000145313,0.001035695,0.0007511794,0.00652838],"genre_scores_gemma":[0.9301369,0.0006695369,0.06699944,0.00009165856,0.0001361108,0.000176261,0.001332734,0.0001869722,0.0002703732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03690278,"threshold_uncertainty_score":0.1951628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504997199907602,"score_gpt":0.2752670763890834,"score_spread":0.2602171043900074,"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."}}