{"id":"W1495632090","doi":"10.4137/ebo.s419","title":"SPR Distance Computation for <i>Unrooted</i> Trees","year":2008,"lang":"en","type":"article","venue":"Evolutionary Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Atlantic","keywords":"Heuristic; Computation; Benchmark (surveying); Tree (set theory); Phylogenetic tree; Algorithm; Measure (data warehouse); Computer science; Mathematics; Combinatorics; Mathematical optimization; Data mining; Biology; Gene","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":[0.0009472814,0.0004377156,0.0009712531,0.001910003,0.0006963232,0.001291006,0.001395791,0.0008311215,0.001746306],"category_scores_gemma":[0.008276712,0.0002645822,0.000636698,0.00187814,0.000600877,0.001782174,0.0008784801,0.0007967167,0.0007172928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000797632,"about_ca_system_score_gemma":0.001091599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002006289,"about_ca_topic_score_gemma":0.002579455,"domain_scores_codex":[0.9989612,0.0001464775,0.0001280355,0.0003264745,0.0003472252,0.00009059907],"domain_scores_gemma":[0.9964889,0.00184696,0.0004042812,0.0005163298,0.0005774788,0.0001660774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006059636,0.0002757609,0.01168116,0.0006173794,0.0001144313,0.0003927584,0.0006638606,0.3243825,0.04850061,0.02788146,0.00716267,0.5777216],"study_design_scores_gemma":[0.00002705851,0.0001174677,0.002107955,0.00001888188,0.0000142328,0.0003300925,0.0001609341,0.954542,0.01684377,0.02288077,0.00293892,0.00001783776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2434078,0.000378125,0.7485589,0.0002208092,0.00004993852,0.00009343021,0.001050322,0.003238773,0.003001948],"genre_scores_gemma":[0.3349025,0.0001092331,0.6607981,0.0000605161,0.00001684743,0.000064459,0.002822494,0.0002940636,0.0009318269],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002006289,"threshold_uncertainty_score":0.00584197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349825968503305,"score_gpt":0.22709905797185,"score_spread":0.213600798286817,"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."}}