{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003851746,0.0002611075,0.00037032,0.00003619305,0.0003803541,0.00002633116,0.001219145,0.0002514802,0.006008195],"category_scores_gemma":[0.0001170289,0.0001540483,0.0002032928,0.0001919086,0.0006629495,0.0002410074,0.0007098329,0.0003860332,0.000500394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009145953,"about_ca_system_score_gemma":0.00001218738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002686251,"about_ca_topic_score_gemma":0.005044777,"domain_scores_codex":[0.9976591,0.0004645235,0.0004663891,0.0005112507,0.0003458234,0.0005528715],"domain_scores_gemma":[0.9989151,0.0002286231,0.0001686926,0.000585246,0.0000124056,0.00008997715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001835672,0.0002452794,0.9049811,0.000003781135,0.00001670562,0.00002111666,0.003176258,3.51125e-7,0.07395735,0.00005283104,0.0168969,0.0004648081],"study_design_scores_gemma":[0.0008001133,0.0001469616,0.9832318,0.00001788234,0.00005434958,0.000005910769,0.0006175912,0.00000858267,0.00638192,0.0008109276,0.007718286,0.000205606],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948138,0.00001798835,0.00001856349,0.001630836,0.0009465192,0.0006227216,0.0002493754,0.00002443731,0.001675757],"genre_scores_gemma":[0.9960484,0.00002885383,0.0005375218,0.002667453,0.0003257047,0.00004843913,0.00004790746,0.00001478571,0.0002809682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07825082,"threshold_uncertainty_score":0.9949005,"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."}}