{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000925668,0.00007258321,0.00009600367,0.00002962176,0.00004055247,0.000005201508,0.0001448081,0.00007257179,0.000106925],"category_scores_gemma":[0.00007715476,0.00006951467,0.00003420902,0.00005552675,0.00004810964,0.00000111522,0.00004051865,0.00003484335,0.00000481455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009450752,"about_ca_system_score_gemma":0.0001226236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004996763,"about_ca_topic_score_gemma":0.01724236,"domain_scores_codex":[0.9994085,0.00003725462,0.0001956617,0.0001928988,0.00004148386,0.0001242321],"domain_scores_gemma":[0.9995259,0.000007712391,0.00008303013,0.0002716684,0.0000766373,0.00003505862],"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":[0.00002341622,0.00003630197,0.01439849,0.000005863668,0.0000184357,3.476263e-7,0.000009894701,0.000001724564,0.9499959,0.006372768,0.02004994,0.0090869],"study_design_scores_gemma":[0.000212789,0.0001470922,0.08543424,0.000001893164,0.000006678423,0.000006398313,0.00005159533,0.00001413928,0.5025759,0.0002467377,0.4111704,0.0001321793],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9635027,0.0001083159,0.0004093901,0.002778888,0.0003984853,0.0001142243,0.00002981453,0.00001391643,0.03264424],"genre_scores_gemma":[0.9963262,0.000043726,0.0001842097,0.0002948674,0.00007737283,0.000003450994,0.0003403901,0.000004479688,0.002725292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.44742,"threshold_uncertainty_score":0.9621642,"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."}}