{"id":"W2802909570","doi":"10.3389/fgene.2018.00030","title":"Detection of Potential Problematic Cytb Gene Sequences of Fishes in GenBank","year":2018,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum","funders":"Chinese Academy of Sciences; China Agricultural University; South China Agricultural University; National Natural Science Foundation of China","keywords":"GenBank; Intraspecific competition; DNA barcoding; Biology; Introgression; Evolutionary biology; Interspecific competition; Identification (biology); Mitochondrial DNA; Zoology; Gene; Genetics; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002170125,0.00008360348,0.0001434396,0.0001436145,0.00002202009,0.000007172907,0.0001810892,0.0001207286,0.00001051454],"category_scores_gemma":[0.00004444023,0.00009034681,0.00004342386,0.0002008005,0.0002174767,0.000003492387,0.00003387663,0.00004398827,0.000002483629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001362597,"about_ca_system_score_gemma":0.00005344048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001401446,"about_ca_topic_score_gemma":0.00005612254,"domain_scores_codex":[0.9990324,0.00006749878,0.0004407213,0.0002105953,0.000123062,0.0001257073],"domain_scores_gemma":[0.9993482,0.000003048029,0.0001940783,0.00028848,0.0001437836,0.00002235814],"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":[0.0000343358,0.00006345465,0.01174163,0.00005493812,0.00001449573,2.41443e-7,0.0001500052,0.0004091368,0.9853987,0.00001117939,0.000337407,0.001784527],"study_design_scores_gemma":[0.0002855936,0.0001592718,0.026325,0.00001835321,0.00001028594,0.000002581676,0.0001765832,0.001843699,0.9703125,0.0002843368,0.000491222,0.00009053887],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637483,0.000878391,0.03442096,0.00003795196,0.000546783,0.0001980479,0.0000113832,0.000003445777,0.0001546922],"genre_scores_gemma":[0.9838102,0.0003324797,0.01561352,0.00001438782,0.00006643523,0.00001683913,0.00002889903,0.00001031064,0.0001069093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02006188,"threshold_uncertainty_score":0.3684236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100225237271628,"score_gpt":0.2411203143224946,"score_spread":0.2301180619497784,"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."}}