{"id":"W3022317155","doi":"10.1111/eva.12990","title":"Genomic population structure of Striped Bass (<i>Morone saxatilis</i>) from the Gulf of St. Lawrence to Cape Fear River","year":2020,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Department of Agriculture; Fisheries and Oceans Canada; Acadia University; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; New Brunswick Innovation Foundation; University of New Brunswick","keywords":"Bass (fish); Biology; Fishery; Fish migration; Cape; Spawn (biology); Population; Tributary; Ecology; Geography; Archaeology; Demography; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000182581,0.0001226528,0.000144725,0.0007895119,0.0004774398,0.0003807182,0.0002079122,0.000125448,0.0005712032],"category_scores_gemma":[0.0004749238,0.00009006404,0.0001428685,0.0007798516,0.0003297576,0.00008847343,0.0002222264,0.0002259213,0.00008205036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339633,"about_ca_system_score_gemma":0.001001016,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4719683,"about_ca_topic_score_gemma":0.690825,"domain_scores_codex":[0.9998159,0.00001985103,0.00001103784,0.00007617565,0.00004355966,0.0000335283],"domain_scores_gemma":[0.9996465,0.00003965283,0.00009633126,0.00002055197,0.0001277358,0.0000692697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004284735,0.00001055872,0.9901803,0.000005952917,0.00004928723,0.00005330959,0.0004599687,0.0001056144,0.005671274,0.00005018524,0.000105607,0.003265141],"study_design_scores_gemma":[0.000001217024,0.000006652565,0.9995028,0.000001748259,0.000007195499,0.0000198378,0.0001885253,0.00009241604,0.00007682954,0.00000485136,0.00009644205,0.000001656961],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996345,0.00001457606,0.00003280403,0.000007753702,6.878647e-7,0.000001472116,0.0001505243,0.000001214634,0.000156484],"genre_scores_gemma":[0.9993275,0.00001828492,0.0001155784,0.0000106863,8.59948e-7,0.000003109636,0.0003958168,9.570022e-7,0.000127217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5280317,"threshold_uncertainty_score":0.9384422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009932578721625852,"score_gpt":0.2185852042839591,"score_spread":0.2086526255623333,"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."}}