{"id":"W1964662526","doi":"10.1371/journal.pone.0101108","title":"Australian Sphingidae – DNA Barcodes Challenge Current Species Boundaries and Distributions","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Alberta Biodiversity Monitoring Institute","funders":"Genome Canada; Ontario Genomics; Government of Canada; Natural Sciences and Engineering Research Council of Canada; De La Salle University; Ontario Genomics Institute","keywords":"DNA barcoding; Biology; Context (archaeology); Endemism; Biogeography; Ecology; Taxon; Species complex; Taxonomic rank; Sphingidae; Taxonomy (biology); Evolutionary biology; Zoology; Phylogenetic tree; Paleontology","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":[0.00492505,0.0002765616,0.0003637749,0.001772842,0.001301112,0.001179739,0.001027747,0.000827071,0.001102384],"category_scores_gemma":[0.007642637,0.0002225474,0.0002132827,0.001778899,0.0025231,0.002450402,0.001258013,0.001278496,0.0002433307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001778462,"about_ca_system_score_gemma":0.001189505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01148026,"about_ca_topic_score_gemma":0.02244116,"domain_scores_codex":[0.9960622,0.001120641,0.0002878506,0.0009575911,0.001393559,0.0001781504],"domain_scores_gemma":[0.9897529,0.003452414,0.003718134,0.0008383704,0.001967978,0.0002701845],"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":[0.0003056057,0.00007545202,0.4128761,0.002016905,0.0001966768,0.001585041,0.03402086,0.00286017,0.09030314,0.01138707,0.001941875,0.4424312],"study_design_scores_gemma":[0.00001281617,0.000299058,0.8741531,0.001520893,0.0001404252,0.003355053,0.01480266,0.006205061,0.009617656,0.01501736,0.07477665,0.00009923217],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644867,0.008214183,0.01686414,0.002834362,0.0001018038,0.0000390767,0.0003061895,0.00005829934,0.007095216],"genre_scores_gemma":[0.9779303,0.002621797,0.01728415,0.0007905684,0.00006225386,0.00003197268,0.0002468769,0.00001874807,0.001013285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01148026,"threshold_uncertainty_score":0.02604651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04132734580918666,"score_gpt":0.2373388072080417,"score_spread":0.1960114613988551,"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."}}