{"id":"W4407666978","doi":"10.1002/ece3.70824","title":"Low Genetic Diversity and Complex Population Structure in Black Piranha ( <scp> <i>Serrasalmus rhombeus</i> </scp> ), a Key Amazonian Predator","year":2025,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Global Affairs Canada; Instituto Nacional de Pesquisas da Amazônia; National Geographic Society; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Mitacs; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado do Amazonas","keywords":"Biology; Genetic diversity; Population; Ecology; Amazon rainforest; Context (archaeology); Biological dispersal; Genetic structure; Keystone species; Evolutionary biology; Geography; Ecosystem; Demography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001944357,0.0001680418,0.0001872551,0.000774397,0.0003112372,0.0002465775,0.0002016428,0.0001564768,0.0009007968],"category_scores_gemma":[0.0004544842,0.00007879421,0.0001593623,0.000391535,0.0002988449,0.0001016656,0.000299473,0.000169265,0.0000976583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001164018,"about_ca_system_score_gemma":0.0001293822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004204266,"about_ca_topic_score_gemma":0.009245776,"domain_scores_codex":[0.9998547,0.00003199416,0.000009349236,0.00005839095,0.00002659644,0.00001903788],"domain_scores_gemma":[0.9997773,0.00004034736,0.00009887457,0.00002269156,0.00003396371,0.0000268401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001429864,0.00007029882,0.9267729,0.00005112008,0.0001329171,0.0003443226,0.001518562,0.0002088634,0.05624218,0.0001557467,0.00008990405,0.0142702],"study_design_scores_gemma":[0.000003294084,0.00005309629,0.9981233,0.000005400668,0.00001452117,0.000232966,0.0003629395,0.0004689453,0.0005097525,0.0000329933,0.0001892411,0.000003605764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996951,0.00002139267,0.00009062958,0.000005022399,4.069201e-7,0.000002460651,0.00004139747,0.000002054241,0.0001415323],"genre_scores_gemma":[0.9997069,0.000009898342,0.000168066,0.000003354349,7.474708e-7,0.000004342946,0.00006141249,8.283932e-7,0.0000443013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004204266,"threshold_uncertainty_score":0.008359611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008973247969872443,"score_gpt":0.2133530520552093,"score_spread":0.2043798040853369,"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."}}