{"id":"W2797734999","doi":"10.1093/molbev/msy073","title":"DAMBE7: New and Improved Tools for Data Analysis in Molecular Biology and Evolution","year":2018,"lang":"en","type":"article","venue":"Molecular Biology and Evolution","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":782,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Biology; Bootstrapping (finance); Phylogenetic tree; Pairwise comparison; Phylogenetics; Software; Interface (matter); Function (biology); Computational biology; Evolutionary biology; Data mining; Computer science; Genetics; Artificial intelligence; Mathematics; Gene; Programming language","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":[0.0003300062,0.0002104431,0.0002881245,0.0001478685,0.000132481,0.00002520253,0.0001633552,0.0003316602,0.000001814903],"category_scores_gemma":[0.0002221097,0.0002044869,0.0000527191,0.0001779992,0.0003767839,0.000005126838,0.0004201814,0.00006968623,6.19458e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001767714,"about_ca_system_score_gemma":0.00006272652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003811674,"about_ca_topic_score_gemma":0.0005767627,"domain_scores_codex":[0.9984771,0.0001078525,0.0002480671,0.0008060047,0.00002880174,0.0003321863],"domain_scores_gemma":[0.9992526,0.00002906226,0.00008988864,0.000461344,0.00007537253,0.0000917306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001271749,0.0000190505,0.06826845,0.00001069585,0.0003280925,6.335333e-7,0.00002693575,0.000006156776,0.9221519,0.005389561,0.0000573072,0.003614],"study_design_scores_gemma":[0.007314854,0.005189523,0.7350031,0.00003529513,0.001899846,0.00008104793,0.0003329733,0.02336244,0.112604,0.09542117,0.01679612,0.001959668],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7116917,0.009539611,0.2780651,0.0002284334,0.00007817332,0.0002557135,0.00009244978,0.000004069435,0.00004474543],"genre_scores_gemma":[0.9897598,0.0004622224,0.008864122,0.0001837272,0.000129217,0.00002468831,0.0005323495,0.00001387232,0.00002999507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.809548,"threshold_uncertainty_score":0.8338736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519336810298367,"score_gpt":0.2924474426532913,"score_spread":0.2772540745503076,"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."}}