{"id":"W2919018280","doi":"10.1186/s12862-019-1346-y","title":"DNA barcoding a unique avifauna: an important tool for evolution, systematics and conservation","year":2019,"lang":"en","type":"article","venue":"BMC Evolutionary Biology","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum; Hospital for Sick Children; University of Toronto","funders":"University of Illinois at Urbana-Champaign; Victoria University; University of Auckland; Massey University; H. Wilhelm Schaumann Stiftung; National Institute of Water and Atmospheric Research; Ontario Genomics Institute; University of New South Wales; Victoria University of Wellington; Ontario Genomics; Genome Canada; Natural Sciences and Engineering Research Council of Canada; University of Otago; Allan Wilson Centre","keywords":"DNA barcoding; Biology; Phylogenetic tree; GenBank; Evolutionary biology; Subspecies; Taxon; Systematics; Phylogenetics; Mitochondrial DNA; Lineage (genetic); Species complex; Zoology; Ecology; Taxonomy (biology); Genetics; 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":[0.003543303,0.0005619175,0.0008246212,0.003642341,0.001015255,0.001835071,0.0009553158,0.001488555,0.002319453],"category_scores_gemma":[0.008417721,0.0003259168,0.0003349332,0.003664335,0.002631666,0.002408091,0.001244603,0.001450687,0.0008783403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189828,"about_ca_system_score_gemma":0.001367879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007620618,"about_ca_topic_score_gemma":0.008100777,"domain_scores_codex":[0.9974276,0.0006090677,0.0001956766,0.0006259109,0.001027321,0.0001143063],"domain_scores_gemma":[0.9904372,0.002979265,0.003985967,0.0005454564,0.001700532,0.0003515452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001669411,0.00007834118,0.1058734,0.003804371,0.0003454897,0.0005514291,0.002631488,0.001896557,0.150297,0.007884306,0.01273993,0.7137307],"study_design_scores_gemma":[0.00004227521,0.0006212866,0.4838104,0.006914676,0.0004877288,0.004151115,0.00345406,0.01365881,0.04726724,0.03407167,0.4051024,0.0004183415],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3915953,0.1349496,0.4123881,0.02305169,0.002732505,0.0004632782,0.01362461,0.001711635,0.01948327],"genre_scores_gemma":[0.6112979,0.02102722,0.3521205,0.003427994,0.0009170451,0.0002785373,0.005580775,0.0002550453,0.005094974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007620618,"threshold_uncertainty_score":0.01873899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02329437921791585,"score_gpt":0.2806117230955767,"score_spread":0.2573173438776609,"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."}}