{"id":"W2110813189","doi":"10.1139/b06-047","title":"DNA barcoding in land plants: evaluation of <i>rbcL</i> in a multigene tiered approach","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Botany","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":369,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Genome Canada","keywords":"DNA barcoding; GenBank; Biology; Locus (genetics); Barcode; Mitochondrial DNA; Gene; Evolutionary biology; Taxonomic rank; Computational biology; Identification (biology); Genetics; Ecology; Computer science; Taxon","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.00585717,0.0006005521,0.0005547141,0.001296145,0.0004348398,0.001834734,0.0009506381,0.0008877699,0.0007476332],"category_scores_gemma":[0.003770239,0.0002020606,0.0004596887,0.001127066,0.0009716373,0.00113915,0.0009012364,0.0006307425,0.0003320888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001162668,"about_ca_system_score_gemma":0.0007981867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003409414,"about_ca_topic_score_gemma":0.009528316,"domain_scores_codex":[0.995484,0.00190705,0.0002375943,0.0007662663,0.001368912,0.0002362136],"domain_scores_gemma":[0.9963837,0.0008820067,0.0004953053,0.0003963581,0.001411046,0.0004315182],"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":[0.001318566,0.000228143,0.02378184,0.0004888182,0.0001495776,0.0001535309,0.0002600311,0.002996309,0.8362903,0.001546398,0.0002549154,0.1325316],"study_design_scores_gemma":[0.00007974848,0.005090044,0.1335883,0.0001377187,0.0005830986,0.001424399,0.0007451407,0.0604189,0.7855383,0.002364437,0.009812964,0.0002170064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8148093,0.007204912,0.1722185,0.0007378209,0.0001228732,0.0004122324,0.0008603124,0.0004872926,0.003146802],"genre_scores_gemma":[0.7093541,0.001878064,0.2858767,0.0002601476,0.00002437883,0.0001142354,0.0007422228,0.00004802009,0.001702158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00585717,"threshold_uncertainty_score":0.03097606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02755893099329275,"score_gpt":0.2561477817241014,"score_spread":0.2285888507308087,"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."}}