{"id":"W2951081919","doi":"10.1016/j.ympev.2019.02.003","title":"Fin whale (Balaenoptera physalus) mitogenomics: A cautionary tale of defining sub-species from mitochondrial sequence monophyly","year":2019,"lang":"en","type":"article","venue":"Molecular Phylogenetics and Evolution","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Saint-Laurent","funders":"Southeast Fisheries Science Center; Fundação para a Ciência e a Tecnologia; University of North Carolina Wilmington; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Consejo Nacional de Ciencia y Tecnología; National Marine Fisheries Service; Federación Española de Enfermedades Raras; Rijksuniversiteit Groningen; International Fund for Animal Welfare","keywords":"Biology; Balaenoptera; Monophyly; Whale; Evolutionary biology; Zoology; Sequence (biology); Clade; Phylogenetics; Ecology; Genetics; Gene","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":[0.004373448,0.0004071574,0.0005721863,0.001434308,0.00175015,0.00175989,0.0007781464,0.0007278062,0.0005612326],"category_scores_gemma":[0.006977073,0.0001807918,0.0003198186,0.001352981,0.002072291,0.002675957,0.001701029,0.003283017,0.0002601175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005213969,"about_ca_system_score_gemma":0.0006077772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002434897,"about_ca_topic_score_gemma":0.008595187,"domain_scores_codex":[0.9986173,0.0005462765,0.0001653322,0.0003917537,0.000223907,0.0000553793],"domain_scores_gemma":[0.9972771,0.001312984,0.0003945759,0.0004753075,0.0003831501,0.0001568835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007256553,0.00007788902,0.2340964,0.003165391,0.001344458,0.00201302,0.02964262,0.001558286,0.2287077,0.04511906,0.02143762,0.4321119],"study_design_scores_gemma":[0.00003210119,0.0003351299,0.6180986,0.00172265,0.0004917941,0.003727297,0.01438658,0.00380924,0.02309331,0.1136023,0.2205365,0.0001645693],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8113352,0.04052704,0.1018674,0.02921212,0.002316082,0.000107615,0.001927535,0.0003549052,0.01235202],"genre_scores_gemma":[0.9355139,0.006515312,0.04361835,0.009647675,0.0006948923,0.0001301569,0.0009482313,0.0001380904,0.002793409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004373448,"threshold_uncertainty_score":0.02312928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00813969956486565,"score_gpt":0.193835685629088,"score_spread":0.1856959860642223,"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."}}