{"id":"W2171675548","doi":"10.1093/bioinformatics/btt729","title":"Site-heterogeneous mutation-selection models within the PhyloBayes-MPI package","year":2013,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Software; Focus (optics); Scalability; Selection (genetic algorithm); Interface (matter); Model selection; Data mining; Mutation; Variety (cybernetics); Dirichlet process; Bayesian probability; Theoretical computer science; Machine learning; Artificial intelligence; Programming language; Biology; Genetics; Parallel computing; Database; Gene","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":[0.005176102,0.002681298,0.002735727,0.001663848,0.001850736,0.002531422,0.00886046,0.002185977,0.02148998],"category_scores_gemma":[0.01480922,0.001965921,0.002344517,0.002953434,0.001096953,0.003143422,0.003600321,0.005390263,0.0173432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001429721,"about_ca_system_score_gemma":0.003304133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009031018,"about_ca_topic_score_gemma":0.005393037,"domain_scores_codex":[0.9981583,0.0007261554,0.0001279836,0.0003011975,0.0004919487,0.0001944344],"domain_scores_gemma":[0.9957892,0.002133421,0.0002945289,0.0008568228,0.0006355172,0.0002905118],"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":[0.001374071,0.0004522436,0.01053405,0.002185227,0.0009083452,0.0009404322,0.001415428,0.4670433,0.01433117,0.1654246,0.2170321,0.118359],"study_design_scores_gemma":[0.0002960725,0.0000660709,0.00135516,0.0001588907,0.00009482578,0.0002017834,0.0000639875,0.8348324,0.005086055,0.09210357,0.06558255,0.0001585698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01073021,0.0003989565,0.8887529,0.0009927166,0.0002351575,0.0001884823,0.01052073,0.08072285,0.007458107],"genre_scores_gemma":[0.09737002,0.0008407969,0.8385296,0.0005292427,0.0002421816,0.002388828,0.01984488,0.03429701,0.005957357],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02148998,"threshold_uncertainty_score":0.07189113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093962971221689,"score_gpt":0.2127637677099754,"score_spread":0.2018241379977585,"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."}}