{"id":"W2074054887","doi":"10.1055/s-2009-1216450","title":"Using DNA Barcodes to Identify Rosaceae","year":2009,"lang":"en","type":"article","venue":"Planta Medica","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Drug Abuse; Agricultural Research Service; University of British Columbia; University of Illinois at Urbana-Champaign; Chinese Academy of Sciences; Kurukshetra University; University of Illinois at Chicago; National Oceanic and Atmospheric Administration; U.S. Food and Drug Administration; National Science Foundation of Sri Lanka; University of Colombo; U.S. Department of Agriculture; Western Carolina University; International Science Council; National Center for Complementary and Alternative Medicine; China Academy of Traditional Chinese Medicine; National Institutes of Health; National Center for Research Resources; National Institute of Allergy and Infectious Diseases; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; Hong Kong Polytechnic University; National Science Foundation; Deutsche Krebshilfe; National Natural Science Foundation of China; Tata Trusts; University Grants Commission; Wake Forest University","keywords":"DNA barcoding; Internal transcribed spacer; Biology; Ribosomal DNA; Amplicon; rpoB; Ribosomal RNA; Rosaceae; DNA sequencing; Evolutionary biology; Electropherogram; Computational biology; Genetics; DNA; Botany; Gene; Phylogenetics; Polymerase chain reaction; 16S ribosomal RNA","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009830737,0.000663851,0.0006853561,0.002305993,0.0005386437,0.0008593386,0.0008114981,0.002027845,0.005159433],"category_scores_gemma":[0.003171956,0.0003615516,0.0007241688,0.001318021,0.0007623429,0.0006190018,0.0006426537,0.001567447,0.005485442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005165735,"about_ca_system_score_gemma":0.0005182635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001401286,"about_ca_topic_score_gemma":0.002713078,"domain_scores_codex":[0.9985725,0.0002429897,0.00007873905,0.0005381422,0.000431717,0.0001359643],"domain_scores_gemma":[0.9977062,0.0005857953,0.001001825,0.0002168625,0.0004087525,0.00008054066],"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":[0.000726665,0.0002070897,0.006358379,0.0008965011,0.0001036582,0.0001539875,0.0003125352,0.0006072805,0.8855267,0.002297343,0.00232077,0.1004892],"study_design_scores_gemma":[0.0001673415,0.00245725,0.05521173,0.0004914826,0.0003227894,0.001277977,0.0003451847,0.009071333,0.795364,0.003608184,0.1315113,0.0001714415],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3873959,0.02728763,0.4831216,0.005751437,0.002697864,0.004805065,0.0520487,0.005432992,0.0314589],"genre_scores_gemma":[0.4964274,0.009343366,0.4266577,0.005027576,0.0003363106,0.002424204,0.02214809,0.0004031365,0.03723222],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005159433,"threshold_uncertainty_score":0.01726002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02675497211440133,"score_gpt":0.3074669098931766,"score_spread":0.2807119377787753,"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."}}