{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001643777,0.0004981476,0.0007541256,0.003892881,0.0002642971,0.0008597584,0.0006189396,0.0007412438,0.001518994],"category_scores_gemma":[0.001496998,0.0002339702,0.0003353242,0.003887387,0.0006255577,0.001199396,0.0004034434,0.0004489969,0.0003029341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005860062,"about_ca_system_score_gemma":0.001137788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005132044,"about_ca_topic_score_gemma":0.01044925,"domain_scores_codex":[0.9995756,0.0001545295,0.00005549718,0.00007980976,0.0001133976,0.00002115507],"domain_scores_gemma":[0.9980792,0.001104875,0.0003402881,0.00003491679,0.0003667127,0.00007399233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005781887,0.000080504,0.01748406,0.01452746,0.0002871596,0.0007163514,0.0007830118,0.0005859165,0.003383887,0.001583086,0.008537719,0.951973],"study_design_scores_gemma":[0.00004076715,0.0009366044,0.3209404,0.01991286,0.00100878,0.01102345,0.00243856,0.001049854,0.002122408,0.005116303,0.6353307,0.00007925963],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004804756,0.9923487,0.0004499652,0.0009382907,0.00007403519,0.0000104229,0.00002336195,0.000007456552,0.001342982],"genre_scores_gemma":[0.01652809,0.9806864,0.001388074,0.0003372854,0.000264132,0.00001552135,0.00005416897,0.000002672973,0.0007236345],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005132044,"threshold_uncertainty_score":0.01020437,"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."}}