{"id":"W2123271845","doi":"10.1093/bioinformatics/bts555","title":"Phylogenetics, likelihood, evolution and complexity","year":2012,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institutes of Health; National Institute of General Medical Sciences; National Natural Science Foundation of China","keywords":"Phylogenetics; Evolutionary biology; Computational biology; Computer science; Biology; Genetics; 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":[0.004722236,0.001094877,0.001315469,0.004738341,0.001093486,0.004224447,0.001297722,0.001221483,0.01696492],"category_scores_gemma":[0.03147987,0.0006158137,0.001283861,0.005110642,0.003093953,0.004649881,0.002654527,0.00380986,0.003814666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001934898,"about_ca_system_score_gemma":0.001828769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001533986,"about_ca_topic_score_gemma":0.001246255,"domain_scores_codex":[0.9965553,0.001543911,0.0002590918,0.0006864629,0.0008486866,0.0001065266],"domain_scores_gemma":[0.9833402,0.01308803,0.001110897,0.00106474,0.001028326,0.0003677441],"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":[0.0001368877,0.00003687491,0.008421622,0.001843464,0.0004707329,0.0003494075,0.0005391208,0.07099409,0.00197551,0.6036748,0.06794288,0.2436147],"study_design_scores_gemma":[0.00001959637,0.0000179376,0.001845902,0.0001797572,0.00005301041,0.0004352535,0.0000639374,0.0970062,0.0007757001,0.8494324,0.05011255,0.00005781912],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007752397,0.006484533,0.9620589,0.003277696,0.0003632124,0.00008520426,0.003547837,0.00249573,0.01393456],"genre_scores_gemma":[0.2661398,0.009595601,0.699273,0.00128212,0.001523178,0.0008130406,0.01022236,0.003434449,0.007716535],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01696492,"threshold_uncertainty_score":0.05675328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02227399503939966,"score_gpt":0.2369459821068522,"score_spread":0.2146719870674526,"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."}}