{"id":"W1993031241","doi":"10.3109/19401736.2011.588213","title":"DNA barcoding reveals hidden diversity in the Neotropical freshwater fish<i>Piabina argentea</i>(Characiformes: Characidae) from the Upper Paraná Basin of Brazil","year":2011,"lang":"en","type":"article","venue":"Mitochondrial DNA","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Characiformes; DNA barcoding; Biology; Characidae; Phylogenetic tree; Freshwater fish; Zoology; Taxonomy (biology); Ecology; Mitochondrial DNA; Evolutionary biology; Fish <Actinopterygii>; Gene; Fishery; Genetics","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":[0.0002281233,0.0001911032,0.0002125032,0.001180969,0.0004953482,0.0003985765,0.0002768808,0.0002440152,0.0005961435],"category_scores_gemma":[0.0008279655,0.0001343677,0.0001096345,0.001095427,0.0006738533,0.0002256794,0.0006464586,0.0002068877,0.00007818876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004436682,"about_ca_system_score_gemma":0.0004077752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02641846,"about_ca_topic_score_gemma":0.04493769,"domain_scores_codex":[0.9998455,0.00001929532,0.00001057691,0.00005685928,0.00004356892,0.00002411257],"domain_scores_gemma":[0.9995771,0.00008130456,0.0002036571,0.00002690633,0.00007533232,0.00003576236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001464099,0.00002939499,0.8951789,0.0002226308,0.00007430655,0.0006069665,0.006225585,0.0003356013,0.05660871,0.0003650746,0.0001576617,0.04004887],"study_design_scores_gemma":[0.000004642377,0.00003647996,0.995352,0.00003487655,0.00002517234,0.0003783644,0.001291575,0.0007373251,0.0007539189,0.0001457036,0.001232504,0.000007510025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989197,0.000141132,0.0003382021,0.00001973001,0.000001739319,0.000005663017,0.0000909347,0.000005215245,0.0004776325],"genre_scores_gemma":[0.9992654,0.00006829906,0.0004808805,0.000008782148,0.000001432569,0.000007072008,0.00009968817,0.000001855494,0.00006660719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02641846,"threshold_uncertainty_score":0.05252934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03082142818810341,"score_gpt":0.235742905806599,"score_spread":0.2049214776184956,"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."}}