{"id":"W1971368280","doi":"10.1007/s00227-009-1284-0","title":"DNA barcoding of Pacific Canada’s fishes","year":2009,"lang":"en","type":"article","venue":"Marine Biology","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":199,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada; Dalhousie University; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Genomics Institute; Genome Canada","keywords":"Biology; DNA barcoding; Fauna; Barcode; Sebastes; Zoology; Genus; Species name; Mitochondrial DNA; Taxonomy (biology); Dominance (genetics); Ecology; Evolutionary biology; Fishery; Fish <Actinopterygii>; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004287337,0.0002680621,0.0002214721,0.003965983,0.002207353,0.001055932,0.00107815,0.0005001456,0.002923083],"category_scores_gemma":[0.001653017,0.0002884227,0.0001978649,0.004986437,0.001013043,0.0003787143,0.0006294487,0.0007834683,0.0008515737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009234264,"about_ca_system_score_gemma":0.01834913,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8578837,"about_ca_topic_score_gemma":0.9366285,"domain_scores_codex":[0.9993081,0.00001848611,0.00002633221,0.0001619043,0.0003763322,0.0001088797],"domain_scores_gemma":[0.9972261,0.0002246017,0.0003050007,0.0001418286,0.001887861,0.000214535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003776673,0.00004576008,0.2100912,0.0006118341,0.00007596501,0.0006702205,0.006141292,0.001506685,0.3602555,0.01064435,0.02083678,0.3887429],"study_design_scores_gemma":[0.00001343697,0.00005218577,0.7478862,0.0002387026,0.00009043796,0.0005492828,0.002925076,0.002665118,0.07312427,0.0012963,0.1710794,0.00007959763],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8916811,0.003408386,0.02750245,0.002000912,0.0002798921,0.0001820032,0.03409114,0.0005419509,0.04031219],"genre_scores_gemma":[0.8857344,0.002084131,0.05389455,0.0008901337,0.00006821843,0.0001697666,0.0160392,0.0001642855,0.04095543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1421163,"threshold_uncertainty_score":0.2859065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01262785636584554,"score_gpt":0.2429598662612786,"score_spread":0.230332009895433,"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."}}