{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005925453,0.0001224948,0.0001084607,0.00002749546,0.0002695112,0.000006883673,0.0001029633,0.00007135796,0.00000218374],"category_scores_gemma":[0.00003661357,0.0001187776,0.00008550716,0.00006045553,0.0001100746,0.000002467023,0.00005544544,0.0000317355,0.00001170302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000176198,"about_ca_system_score_gemma":0.00006803829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002930472,"about_ca_topic_score_gemma":0.000008925042,"domain_scores_codex":[0.9993361,0.000008790131,0.0002472484,0.0001246305,0.0000959582,0.000187234],"domain_scores_gemma":[0.9995783,0.00001884507,0.00009197568,0.0001504722,0.0001136405,0.00004677055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009646516,0.0007148566,0.06696502,0.000486273,0.0008121138,0.000008617545,0.003258067,0.04191844,0.1145643,0.007476853,0.7377809,0.02504994],"study_design_scores_gemma":[0.002566033,0.001067631,0.1590002,0.00002926714,0.00005405035,0.0001846924,0.0004771114,0.07449646,0.007466882,0.001929034,0.7517833,0.0009453332],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6324171,0.003320559,0.3574373,0.0003340091,0.0005443605,0.0006711518,0.0004016477,0.00002441722,0.004849447],"genre_scores_gemma":[0.9382964,0.0004169708,0.05984198,0.0002344566,0.0002083148,0.00003662254,0.0003494688,0.00001312285,0.0006026054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3058794,"threshold_uncertainty_score":0.4843609,"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."}}