{"id":"W2151714956","doi":"10.1111/j.2041-210x.2011.00092.x","title":"Discriminating plant species in a local temperate flora using the <i>rbcL</i>+<i>matK</i> DNA barcode","year":2011,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":176,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia; University of Guelph","funders":"Ontario Genomics; University of Guelph; Ontario Genomics Institute; Genome Canada","keywords":"Barcode; DNA barcoding; Biology; Intergenic region; DNA sequencing; Locus (genetics); Botany; Evolutionary biology; Gene; Genetics; Genome; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009210113,0.0001189703,0.0001569177,0.00004602424,0.0002765923,0.000006214907,0.0001375358,0.00009145421,0.000154873],"category_scores_gemma":[0.0000692295,0.00009323801,0.00002223918,0.0001459954,0.0008918528,0.0001628283,0.0004186494,0.0001960308,0.00002169881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003913249,"about_ca_system_score_gemma":0.000002639301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009795459,"about_ca_topic_score_gemma":0.002148677,"domain_scores_codex":[0.99868,0.0004999925,0.000191705,0.0002639156,0.00008056303,0.0002838355],"domain_scores_gemma":[0.9996507,0.000148536,0.00005683196,0.000114845,0.000001450652,0.00002766853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002448471,0.00005836158,0.9827837,0.000005268374,0.000004679253,0.00000867922,0.00290104,0.0004737258,0.01266163,0.000130111,0.0000448655,0.0009033905],"study_design_scores_gemma":[0.0002246809,0.00004636375,0.9857343,0.00001079696,0.00001315398,0.00001621383,0.004759633,0.004616844,0.002820437,0.001541853,0.0001009184,0.0001147326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858436,0.00008722871,0.01195545,0.00009256925,0.000177177,0.0001667364,0.000006431228,0.00001071176,0.001660086],"genre_scores_gemma":[0.8726622,0.00007006006,0.1270596,0.0001299887,0.00001019087,0.00001086636,0.000001366491,0.000004384233,0.00005140289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1151041,"threshold_uncertainty_score":0.3802136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05615447322397591,"score_gpt":0.2815398985269256,"score_spread":0.2253854253029497,"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."}}