{"id":"W2071921584","doi":"10.1186/1471-2164-11-423","title":"Recovery of the mitochondrial COI barcode region in diverse Hexapoda through tRNA-based primers","year":2010,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Genomics; Ontario Genomics Institute; Genome Canada","keywords":"Biology; Barcode; Mitochondrial DNA; Transfer RNA; Genetics; Hexapoda; Computational biology; Evolutionary biology; DNA barcoding; Zoology; Gene; Taxonomy (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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007438377,0.0001384775,0.000148265,0.00001831011,0.000140343,0.000008762172,0.0004497627,0.00009614016,0.0002017487],"category_scores_gemma":[0.00005128865,0.0001171866,0.0001146703,0.0001249905,0.0006132292,0.0001218489,0.000485697,0.0002029042,0.0001439621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002741685,"about_ca_system_score_gemma":0.00001384027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009717485,"about_ca_topic_score_gemma":0.002499623,"domain_scores_codex":[0.9990199,0.0000550279,0.0001934815,0.0002877473,0.0002247346,0.0002190903],"domain_scores_gemma":[0.999341,0.00007206106,0.0001350519,0.0004129063,0.00000236869,0.00003667843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001040874,0.0001102251,0.8541174,0.00000816029,0.000007651316,0.000002542125,0.0006366488,0.004255015,0.138231,0.0000120515,0.002140072,0.0003751607],"study_design_scores_gemma":[0.001309626,0.00007029721,0.923294,0.00001168281,0.00003193709,0.00000271569,0.0006924564,0.0001671128,0.06096987,0.0003868567,0.01279865,0.0002648074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970506,0.00001278917,0.0001691995,0.0001553427,0.0007083641,0.0003511988,0.00002760693,0.00001013218,0.001514777],"genre_scores_gemma":[0.9512313,0.0000520061,0.04787657,0.0003400999,0.00005671432,0.000008711592,0.00000570974,0.00001518858,0.0004136993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07726114,"threshold_uncertainty_score":0.4778731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02126995040358048,"score_gpt":0.2085220119224866,"score_spread":0.1872520615189061,"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."}}