{"id":"W4236918082","doi":"10.1177/117693430600200002","title":"MBEToolbox 2.0: An enhanced version of a MATLAB toolbox for Molecular Biology and Evolution","year":2006,"lang":"en","type":"article","venue":"Evolutionary Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Toolbox; Computer science; MATLAB; Software; Bayesian probability; Phylogenetic tree; Nonsynonymous substitution; Substitution (logic); Maximum likelihood; Computational biology; Data mining; Bioinformatics; Biology; Artificial intelligence; Genome; Programming language; Statistics; Genetics; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001149489,0.0001416939,0.0001590535,0.00006214794,0.0001054031,0.000008034783,0.000108998,0.0001400934,0.000003013079],"category_scores_gemma":[0.00003549719,0.000139059,0.00006925281,0.00006568576,0.0001394148,0.000005168502,0.00007568549,0.0000324792,0.000002215597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000219008,"about_ca_system_score_gemma":0.00005950845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000376493,"about_ca_topic_score_gemma":0.00001331834,"domain_scores_codex":[0.9992045,0.00002181913,0.0003256972,0.0001714853,0.00007261723,0.0002038437],"domain_scores_gemma":[0.9994162,0.00001669708,0.00014558,0.0002202464,0.0001595174,0.00004172675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001324652,0.00007897276,0.004778185,0.00008903267,0.00005262289,1.315818e-7,0.00006853947,0.0006329038,0.982647,0.008971176,0.001544555,0.001004443],"study_design_scores_gemma":[0.00687915,0.006255671,0.2185892,0.00008661605,0.0002789645,0.00006613086,0.001797279,0.03360399,0.6370659,0.05153858,0.04202662,0.00181195],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9023299,0.001402943,0.09455123,0.00005079039,0.0001146135,0.0002939253,0.0002245377,0.000006452043,0.001025654],"genre_scores_gemma":[0.9522242,0.00006704713,0.04699327,0.00004478605,0.00009700568,0.00002498685,0.0004630307,0.0000112603,0.00007442659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3455811,"threshold_uncertainty_score":0.567066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004488704414150137,"score_gpt":0.2312291387431765,"score_spread":0.2267404343290264,"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."}}