{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002775407,0.0001023439,0.0001212146,0.00001781542,0.0001132932,0.000004757284,0.0003026323,0.00009940848,0.0002139113],"category_scores_gemma":[0.00003313359,0.00009323683,0.0000605625,0.0001933212,0.00008469862,0.000004415733,0.0001281151,0.00006823889,0.00001121502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001272874,"about_ca_system_score_gemma":0.00005101355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000316479,"about_ca_topic_score_gemma":0.00007927328,"domain_scores_codex":[0.9992064,0.00004763105,0.0002241126,0.0002622114,0.0001630945,0.00009661326],"domain_scores_gemma":[0.9992733,0.00002176549,0.0001624895,0.0003446945,0.0001247413,0.00007301617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001048165,0.00003434758,0.1324633,0.00001766317,0.00007532275,1.029366e-7,0.0004180325,0.01852306,0.8330525,0.001524952,0.01259616,0.001189752],"study_design_scores_gemma":[0.0002642009,0.00006102127,0.944555,0.000004448463,0.00004437755,0.000001010865,0.0001274137,0.0002109975,0.01120412,0.00127719,0.04212839,0.0001218148],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816606,0.0003729001,0.01351185,0.0009103909,0.00004160201,0.000457746,0.00293968,0.000009168963,0.0000960352],"genre_scores_gemma":[0.9901025,0.000018915,0.007430995,0.0003966463,0.0001894469,0.00001128875,0.001784545,0.000008024082,0.00005769484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8218484,"threshold_uncertainty_score":0.3802088,"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."}}