{"id":"W4236494054","doi":"10.7287/peerj.preprints.18","title":"Supertrees based on the subtree prune-and-regraft distance","year":2013,"lang":"en","type":"preprint","venue":"","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Supertree; Phylogenetic tree; Phylum; Biology; Tree (set theory); Maximum parsimony; Benchmark (surveying); Phylogenetics; Horizontal gene transfer; Inference; Tree of life (biology); Genome; Set (abstract data type); Evolutionary biology; Computational biology; Computer science; Gene; Mathematics; Artificial intelligence; Combinatorics; Genetics; Clade","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":[0.003780858,0.00131318,0.001694125,0.004458745,0.001904417,0.001877997,0.002546495,0.001813884,0.003007658],"category_scores_gemma":[0.01776459,0.0009603981,0.001868187,0.003540207,0.001355185,0.003074227,0.002175891,0.002864541,0.00142311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001398481,"about_ca_system_score_gemma":0.002732236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003610775,"about_ca_topic_score_gemma":0.008605599,"domain_scores_codex":[0.9977493,0.0007575617,0.0001831244,0.0005265594,0.0006032179,0.0001802109],"domain_scores_gemma":[0.9906034,0.004990742,0.001113531,0.001489332,0.001437271,0.0003656657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004844688,0.0002040055,0.01179762,0.0008080389,0.0003909591,0.0005196939,0.001469892,0.487235,0.0137039,0.053298,0.0193263,0.410762],"study_design_scores_gemma":[0.00008295532,0.0001254461,0.001426903,0.0001196346,0.00008481077,0.0002599116,0.0002499359,0.9088099,0.003236471,0.07630781,0.009245796,0.00005034216],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05834864,0.001116438,0.9326929,0.0004013535,0.0001221243,0.0002925203,0.001532535,0.002882431,0.002611057],"genre_scores_gemma":[0.1430044,0.0003623997,0.8505226,0.000261863,0.00007184748,0.0003544633,0.003659224,0.0008715863,0.0008915393],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004458745,"threshold_uncertainty_score":0.01999533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0138457250313291,"score_gpt":0.2171451540006548,"score_spread":0.2032994289693257,"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."}}