{"id":"W2949088685","doi":"10.1007/s13752-017-0267-5","title":"Base Composition, Speciation, and Why the Mitochondrial Barcode Precisely Classifies","year":2017,"lang":"en","type":"article","venue":"Biological Theory","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Biology; Sympatric speciation; Reproductive isolation; Mitochondrial DNA; Barcode; Evolutionary biology; Genome; Genetics; Genetic algorithm; DNA barcoding; Nuclear gene; Gene; Computational biology","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":[0.005104318,0.0007303492,0.001127135,0.001885722,0.00195778,0.00326473,0.001989658,0.002710432,0.001915887],"category_scores_gemma":[0.01802369,0.000503884,0.0004891817,0.001494956,0.01127402,0.01105342,0.001484174,0.003660472,0.001086196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001900157,"about_ca_system_score_gemma":0.00129316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00315229,"about_ca_topic_score_gemma":0.002769485,"domain_scores_codex":[0.9972603,0.0009103433,0.0001375298,0.0008875426,0.0005345955,0.0002696138],"domain_scores_gemma":[0.9947364,0.002427843,0.0007903547,0.0009007874,0.0008035864,0.0003410504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007193958,0.0001607904,0.05616776,0.001034518,0.0005098089,0.0005569246,0.005103679,0.008438009,0.07588477,0.6719254,0.006375363,0.1731236],"study_design_scores_gemma":[0.00004906394,0.0001409789,0.03326918,0.0003347283,0.0001518133,0.001125423,0.002660044,0.01728095,0.01645144,0.8990526,0.02924532,0.0002384917],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5875926,0.02252504,0.2857805,0.05779338,0.004771452,0.00008681263,0.001061146,0.0009025317,0.03948655],"genre_scores_gemma":[0.963127,0.003568413,0.02486949,0.004502105,0.0008187679,0.00003937119,0.0003323036,0.0003195791,0.002422879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005104318,"threshold_uncertainty_score":0.02699453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03323770468101608,"score_gpt":0.2554263141833605,"score_spread":0.2221886095023445,"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."}}