{"id":"W2141427956","doi":"10.1111/j.1558-5646.2009.00779.x","title":"DISENTANGLING THE EFFECTS OF EVOLUTIONARY, DEMOGRAPHIC, AND ENVIRONMENTAL FACTORS INFLUENCING GENETIC STRUCTURE OF NATURAL POPULATIONS: ATLANTIC HERRING AS A CASE STUDY","year":2009,"lang":"en","type":"article","venue":"Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":262,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"European Science Foundation; European Commission","keywords":"Biology; Clupea; Herring; Atlantic herring; Pelagic zone; Genetic structure; Population; Natural selection; Ecology; Intraspecific competition; Genetic diversity; Population genetics; Genetic drift; Effective population size; Demographic history; Biological dispersal; Selection (genetic algorithm); Genetic variation; Fishery; Fish <Actinopterygii>; Demography; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002457333,0.0004118141,0.0005064384,0.001470472,0.0007602387,0.0008719088,0.000482561,0.0004275261,0.0003379615],"category_scores_gemma":[0.003826395,0.0001974108,0.0008448642,0.001407929,0.0008619172,0.0005094616,0.000764818,0.0004158084,0.00005352751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004892314,"about_ca_system_score_gemma":0.0007263702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02017927,"about_ca_topic_score_gemma":0.04362417,"domain_scores_codex":[0.9988716,0.0006471103,0.00008424274,0.0001679578,0.000120335,0.0001087357],"domain_scores_gemma":[0.9966823,0.002096904,0.0004769865,0.0002561642,0.000254303,0.0002333215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001508281,0.0002542622,0.9556976,0.00008225406,0.0004375431,0.002598268,0.001658068,0.002327948,0.009077454,0.0006756388,0.00009251972,0.02694755],"study_design_scores_gemma":[0.00001875043,0.0005303934,0.9805149,0.00002793521,0.0004235809,0.00153128,0.002546707,0.01191124,0.001081058,0.0006991058,0.0006799873,0.00003495906],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990889,0.000212562,0.0004954362,0.00002458564,6.901766e-7,0.000004361497,0.00001097566,0.000001565263,0.0001608706],"genre_scores_gemma":[0.9967639,0.0002717385,0.002752516,0.00002669189,0.000006327637,0.000007364532,0.00006409437,0.000003890767,0.0001035502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02017927,"threshold_uncertainty_score":0.04012364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004487006904110198,"score_gpt":0.2151564391031848,"score_spread":0.2106694321990746,"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."}}