{"id":"W2143794041","doi":"10.1093/sysbio/syu023","title":"Supertrees Based on the Subtree Prune-and-Regraft Distance","year":2014,"lang":"en","type":"article","venue":"Systematic Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Killam Trusts; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Supertree; Biology; Phylogenomics; Phylogenetic tree; Maximum parsimony; Phylum; Phylogenetics; Horizontal gene transfer; Tree (set theory); Supermatrix; Benchmark (surveying); Evolutionary biology; Tree of life (biology); Computational biology; Gene; Mathematics; Genetics; Combinatorics; Clade","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":[0.004338889,0.001360962,0.001803806,0.004562017,0.002147643,0.00204663,0.002424171,0.001837023,0.002882262],"category_scores_gemma":[0.01950152,0.001026792,0.002037323,0.003593157,0.001393384,0.003107361,0.002247431,0.003075978,0.001384406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001490108,"about_ca_system_score_gemma":0.002769959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0035014,"about_ca_topic_score_gemma":0.008591182,"domain_scores_codex":[0.9974828,0.0009071237,0.0002079071,0.0005603217,0.0006549338,0.0001869941],"domain_scores_gemma":[0.9895229,0.005834193,0.001170453,0.001586645,0.001508215,0.0003776278],"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":[0.0006258136,0.0002339115,0.01629936,0.0009922048,0.0005222053,0.0006236634,0.00179249,0.4937439,0.0154718,0.06217954,0.01922516,0.3882899],"study_design_scores_gemma":[0.0001127678,0.0001521121,0.001936389,0.0001485421,0.000107726,0.000339674,0.0002904172,0.8884942,0.003647386,0.09460929,0.01009699,0.00006441636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07193352,0.001246872,0.9182412,0.000437289,0.0001324947,0.0003353691,0.001889385,0.003030617,0.002753176],"genre_scores_gemma":[0.1621715,0.0003969572,0.83065,0.0002703896,0.00007685787,0.0004008045,0.00429799,0.0009865067,0.000748921],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004562017,"threshold_uncertainty_score":0.02294654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009303417958051773,"score_gpt":0.2117532545432933,"score_spread":0.2024498365852415,"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."}}