{"id":"W2110375946","doi":"10.1073/pnas.1117018109","title":"Nuclear ribosomal internal transcribed spacer (ITS) region as a universal DNA barcode marker for <i>Fungi</i>","year":2012,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5098,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Royal Ontario Museum; Natural Resources Canada; Brandon University; University of Toronto; Canadian Forest Service; Agriculture and Agri-Food Canada","funders":"Biotechnology and Biological Sciences Research Council; National Institutes of Health; Genome Canada; Ontario Genomics; Life Technologies Corporation; Ontario Genomics Institute; U.S. National Library of Medicine; Alfred P. Sloan Foundation","keywords":"Internal transcribed spacer; Biology; Cistron; Ribosomal RNA; Genetics; Ribosomal DNA; Barcode; DNA barcoding; Ribosomal protein; Gene; Ribosome; Phylogenetics; Evolutionary biology; RNA","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":[0.002174917,0.0006253676,0.0006661866,0.0009520982,0.0004250361,0.0009796657,0.0005492702,0.0005369469,0.001037693],"category_scores_gemma":[0.001608528,0.0001946286,0.0007573796,0.001076944,0.0005585614,0.0004715379,0.0004814998,0.0005234355,0.0004288091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006210231,"about_ca_system_score_gemma":0.001028321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002219658,"about_ca_topic_score_gemma":0.003362849,"domain_scores_codex":[0.9981664,0.0004591258,0.0001817613,0.0003878532,0.0005970346,0.000207898],"domain_scores_gemma":[0.9985362,0.000267461,0.0004464352,0.00009929447,0.0004920369,0.0001585384],"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":[0.0005922184,0.00009942053,0.0105395,0.0002400487,0.00003878411,0.00006110506,0.00007062966,0.00083577,0.9612279,0.0004224367,0.0001308652,0.02574146],"study_design_scores_gemma":[0.0000515116,0.003659932,0.0426989,0.0001033882,0.0003553907,0.0005987515,0.0002998492,0.007255283,0.9284876,0.0003191857,0.0161232,0.00004703712],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532494,0.004012994,0.03577787,0.0001655558,0.0001210543,0.0004046187,0.001408429,0.0001932652,0.004666805],"genre_scores_gemma":[0.8511505,0.001617603,0.1384627,0.0002044301,0.00002762348,0.0002194659,0.005416593,0.0000767351,0.002824385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002219658,"threshold_uncertainty_score":0.01150221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02599810802906121,"score_gpt":0.2662343966234663,"score_spread":0.240236288594405,"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."}}