{"id":"W2118730946","doi":"10.1111/j.1755-0998.2011.03055.x","title":"COI is better than 16S rRNA for DNA barcoding Asiatic salamanders (Amphibia: Caudata: Hynobiidae)","year":2011,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum","funders":"Chinese Academy of Sciences; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Biology; DNA barcoding; Intraspecific competition; Mitochondrial DNA; Evolutionary biology; Interspecific competition; Genetic divergence; Zoology; 16S ribosomal RNA; Ribosomal RNA; Gene; Genetics; Ecology; Genetic diversity","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":[0.003626367,0.0007738087,0.001319127,0.002143228,0.0008105997,0.001921346,0.0005226075,0.0009398095,0.003012744],"category_scores_gemma":[0.005951396,0.0003850322,0.0005567547,0.003511575,0.0008787672,0.00214223,0.0006948834,0.000725873,0.001305122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006363586,"about_ca_system_score_gemma":0.0004598903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002729043,"about_ca_topic_score_gemma":0.006847629,"domain_scores_codex":[0.9963554,0.001107622,0.0002679538,0.001183589,0.0008508054,0.0002347027],"domain_scores_gemma":[0.9939288,0.001507725,0.002508588,0.0005811665,0.00121942,0.0002542524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001019691,0.0001333477,0.3016692,0.001566954,0.0007220758,0.0002777886,0.001249097,0.002059286,0.402187,0.002136528,0.002158096,0.2848209],"study_design_scores_gemma":[0.00006514488,0.001174416,0.7389265,0.0007899795,0.0008033046,0.002628224,0.001566367,0.0143266,0.1785273,0.005063082,0.055852,0.0002770225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8854339,0.02817232,0.06689086,0.001785101,0.000357039,0.00007995261,0.002521165,0.000904218,0.01385542],"genre_scores_gemma":[0.8689368,0.003862209,0.1206962,0.0005652981,0.0001806639,0.00008107795,0.002327326,0.0002940912,0.003056434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003626367,"threshold_uncertainty_score":0.01917827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01492753622346011,"score_gpt":0.2131850715758558,"score_spread":0.1982575353523957,"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."}}