{"id":"W2114548142","doi":"10.1186/1471-2148-14-133","title":"A population genetic window into the past and future of the walleye Sander vitreus: relation to historic walleye and the extinct “blue pike” S. v. “glaucus”","year":2014,"lang":"en","type":"article","venue":"BMC Evolutionary Biology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ohio Sea Grant College, Ohio State University; U.S. Geological Survey; U.S. Fish and Wildlife Service; National Oceanic and Atmospheric Administration; Smithsonian Institution; International Association for Great Lakes Research; Ministry of Natural Resources; U.S. Environmental Protection Agency; University of Toledo; National Science Foundation","keywords":"Biology; Pike; Genetic diversity; Range (aeronautics); Genetic divergence; Population; mtDNA control region; Ecology; Mitochondrial DNA; Zoology; Esox; Haplotype; Fishery; Allele; Fish <Actinopterygii>; Genetics; Demography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001834647,0.0000708482,0.00006875907,0.0004170724,0.0002921517,0.000338573,0.0001458921,0.0001672202,0.0008402854],"category_scores_gemma":[0.0003211501,0.00005357214,0.00007584912,0.0003363485,0.0004613523,0.0002437004,0.0002260517,0.0001817024,0.00004761412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002905326,"about_ca_system_score_gemma":0.0001636008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008302439,"about_ca_topic_score_gemma":0.02821912,"domain_scores_codex":[0.9999456,0.00001080852,0.000003708837,0.00002038437,0.000006938681,0.00001257929],"domain_scores_gemma":[0.9998353,0.00002717684,0.00006897418,0.000006235194,0.00001851468,0.00004381879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008722713,0.00001506045,0.9892458,0.000007587258,0.00002203106,0.0001338865,0.001130425,0.00007484521,0.004701958,0.0001548414,0.00003354427,0.004392787],"study_design_scores_gemma":[6.737318e-7,0.0000216932,0.9989709,0.000002648548,0.000004313621,0.0001102134,0.0006087168,0.0000693473,0.00006826344,0.0000398337,0.0001022005,0.000001193125],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997949,0.00004335025,0.00001846084,0.000009290869,3.646946e-7,2.335032e-7,0.000009449689,3.467477e-7,0.0001236126],"genre_scores_gemma":[0.9998991,0.00001957777,0.00001984406,0.000002884611,9.217449e-7,2.809609e-7,0.00001973059,2.271624e-7,0.00003733888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008302439,"threshold_uncertainty_score":0.01650822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004592150993141263,"score_gpt":0.1992572669718784,"score_spread":0.1946651159787371,"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."}}