{"id":"W4253741718","doi":"10.1139/gen-2019-0060","title":"Trends in DNA Barcoding and Metabarcoding","year":2019,"lang":"en","type":"article","venue":"Genome","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biology; DNA barcoding; Evolutionary biology; Genetics; Computational biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02473056,0.001089697,0.002079769,0.009175868,0.0009232471,0.005796915,0.003813733,0.003928257,0.006717082],"category_scores_gemma":[0.04924865,0.0007115215,0.001297685,0.01310246,0.004487362,0.007933279,0.002578211,0.005099789,0.00275973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005066748,"about_ca_system_score_gemma":0.008995952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.011174,"about_ca_topic_score_gemma":0.01842202,"domain_scores_codex":[0.9897705,0.003192286,0.001110141,0.002652694,0.002521405,0.0007529277],"domain_scores_gemma":[0.8967295,0.03818174,0.01380502,0.004407524,0.04026654,0.006609656],"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":[0.0006495584,0.000187675,0.03434436,0.008690325,0.0003458474,0.0001731726,0.0007142929,0.00248575,0.01428247,0.03776944,0.06870486,0.8316522],"study_design_scores_gemma":[0.00008633204,0.0004645766,0.05444432,0.005040429,0.0003234802,0.001780024,0.002021865,0.006875233,0.01033287,0.0266666,0.8917521,0.0002122911],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03822236,0.6097535,0.08904207,0.2176925,0.009423515,0.0002604503,0.004785263,0.002222757,0.02859755],"genre_scores_gemma":[0.156356,0.5456401,0.1845738,0.07147947,0.01500318,0.0005295819,0.008617217,0.0008901638,0.01691041],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02473056,"threshold_uncertainty_score":0.1307893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527331775839495,"score_gpt":0.2063994060813749,"score_spread":0.19112608832298,"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."}}