{"id":"W2161551590","doi":"10.1111/j.1365-2907.2011.00201.x","title":"Conservation genetics of South American aquatic mammals: an overview of gene diversity, population structure, phylogeography, non‐invasive methods and forensics","year":2011,"lang":"en","type":"article","venue":"Mammal Review","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Consejo Nacional de Investigaciones Científicas y Técnicas; Fundação de Amparo à Pesquisa do Estado de São Paulo; McGill University","keywords":"Biological dispersal; Conservation genetics; Phylogeography; Wildlife trade; Biology; Wildlife; Population; Ecology; Conservation biology; Wildlife conservation; Wildlife management; Population genetics; Conservation status; Geography; Evolutionary biology; Habitat; Microsatellite; Phylogenetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005083577,0.0001998004,0.000634203,0.00003713445,0.00008867768,0.000004550535,0.0002506156,0.00003891248,0.0003355663],"category_scores_gemma":[0.0001232242,0.000175822,0.0001163511,0.0004898238,0.0003441834,0.0001163875,0.0007551399,0.00006308952,0.00000311187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002972956,"about_ca_system_score_gemma":0.000008006379,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009601907,"about_ca_topic_score_gemma":0.00369473,"domain_scores_codex":[0.9984275,0.0002637735,0.0005004088,0.0003159428,0.000302788,0.0001895681],"domain_scores_gemma":[0.9988313,0.0000656339,0.0006311635,0.0003466406,0.00003585781,0.00008941557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001139698,0.00002402146,0.8093484,0.001296657,0.00003774431,0.000001079645,0.0002782355,0.000001826501,0.0003741565,0.0001214933,0.00002815762,0.1884768],"study_design_scores_gemma":[0.0001326768,0.0003326834,0.9954411,0.0003520163,0.0003301617,0.000003765448,0.00005411918,0.000100413,0.001244655,0.001517767,0.0003062046,0.0001844565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691606,0.02900279,0.000686292,0.00002522865,0.00003115695,0.0006408829,0.00003372982,0.000010856,0.0004084356],"genre_scores_gemma":[0.8365322,0.06905913,0.09374028,0.0006087442,0.00001101458,0.000007630119,0.00002100231,0.00001525983,0.000004784053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1882924,"threshold_uncertainty_score":0.9969932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0933248866246826,"score_gpt":0.3281532264468797,"score_spread":0.2348283398221971,"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."}}