{"id":"W92163274","doi":"10.1007/978-1-61779-591-6_8","title":"DNA Barcoding in Mammals","year":2012,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"DNA barcoding; Biology; Taxon; Identification (biology); Evolutionary biology; Cytochrome c oxidase subunit I; Scope (computer science); Computational biology; Taxonomic rank; Barcode; Vertebrate; Species complex; Mitochondrial DNA; Ecology; Computer science; Gene; Genetics; Phylogenetic tree","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001276319,0.0004200507,0.0005827326,0.00220293,0.0009318432,0.002334275,0.001201254,0.001892174,0.004790443],"category_scores_gemma":[0.002092661,0.0003332626,0.0003748222,0.002869105,0.001586415,0.002026802,0.001505645,0.001654677,0.004202547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008216376,"about_ca_system_score_gemma":0.001099018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00100555,"about_ca_topic_score_gemma":0.0008815553,"domain_scores_codex":[0.999056,0.0002031344,0.0001055745,0.0002808393,0.0002877834,0.00006677053],"domain_scores_gemma":[0.9992635,0.0002825539,0.0001582112,0.00009561078,0.0001479737,0.00005223274],"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":[0.00008214448,0.00003512266,0.002146403,0.002677043,0.00005732444,0.0006936492,0.001063627,0.001122689,0.04539093,0.1201479,0.02470391,0.8018792],"study_design_scores_gemma":[0.00000673137,0.00009552678,0.006244644,0.001733377,0.00003373481,0.00215303,0.0003406767,0.0009660471,0.01749109,0.04206597,0.9288189,0.0000502033],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.0234866,0.4565285,0.3758179,0.01074249,0.00610216,0.0003536273,0.006021375,0.002662064,0.1182853],"genre_scores_gemma":[0.1124021,0.2872823,0.5334591,0.005676979,0.003105133,0.000660231,0.008550649,0.0006609184,0.04820252],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004790443,"threshold_uncertainty_score":0.01602566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0468738243577878,"score_gpt":0.4204228940641291,"score_spread":0.3735490697063413,"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."}}