{"id":"W2509945899","doi":"10.1139/gen-2016-0046","title":"Fungal DNA barcoding","year":2016,"lang":"en","type":"review","venue":"Genome","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":242,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"DNA barcoding; Biology; Barcode; Identification (biology); Biodiversity; Fungal Diversity; Evolutionary biology; DNA sequencing; Computational biology; Ecology; DNA; Genetics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002737274,0.001775114,0.001880767,0.006070711,0.002286033,0.003364047,0.0031735,0.003057753,0.01884307],"category_scores_gemma":[0.008126161,0.0008600382,0.002017344,0.00504517,0.001547756,0.002312654,0.00284138,0.003220488,0.02660876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001662092,"about_ca_system_score_gemma":0.004088541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003987276,"about_ca_topic_score_gemma":0.006350757,"domain_scores_codex":[0.9944357,0.0007353168,0.0004964835,0.001748161,0.002019877,0.0005645045],"domain_scores_gemma":[0.9950664,0.000909568,0.0009710728,0.0007928024,0.002028647,0.0002315627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007572378,0.0002061659,0.006668686,0.005165122,0.00019305,0.001103738,0.001214366,0.002679004,0.267655,0.02414531,0.118518,0.5716943],"study_design_scores_gemma":[0.00005304063,0.0002176624,0.006105169,0.001226871,0.0001641981,0.001560057,0.0004449924,0.006614354,0.1988298,0.008180125,0.7764474,0.0001563654],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.03602296,0.0316178,0.723385,0.004110732,0.007329974,0.003150659,0.1000969,0.01548811,0.07879785],"genre_scores_gemma":[0.07743498,0.01998845,0.7207394,0.006368923,0.001042905,0.003122863,0.1188431,0.002476322,0.04998305],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01884307,"threshold_uncertainty_score":0.06303638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02642535709955891,"score_gpt":0.2747407495889095,"score_spread":0.2483153924893506,"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."}}