{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002153411,0.0001081287,0.0001017873,0.00005673157,0.0001581687,0.000006629809,0.00006939588,0.00006933091,0.000003274236],"category_scores_gemma":[0.00003669254,0.00008685826,0.00005215341,0.00008710226,0.00006688407,0.000007700965,0.00004820054,0.00007037169,8.456953e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001645995,"about_ca_system_score_gemma":0.00001258627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002383957,"about_ca_topic_score_gemma":0.0001251532,"domain_scores_codex":[0.9993461,0.00007056065,0.0001710325,0.0001710535,0.0001414572,0.0000998363],"domain_scores_gemma":[0.999652,0.00001344497,0.0001208115,0.0001622973,0.0000202486,0.00003116754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001894375,0.00003007848,0.8793263,0.00001702402,0.00003171303,0.000008771014,0.0007055493,0.0007288645,0.1188527,0.00002665563,0.000006203431,0.0002471944],"study_design_scores_gemma":[0.0003726729,0.0002676435,0.9915655,0.00001531597,0.00008777166,0.0001907715,0.003118792,0.0003622079,0.003596931,0.0003240239,0.000006083337,0.0000923094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997566,0.001915824,0.00006788422,0.000006869309,0.0001242368,0.0003013518,0.00001145515,0.000004481841,0.000001875128],"genre_scores_gemma":[0.999653,0.00001857806,0.0002086774,0.00001185527,0.00003858339,7.548381e-7,0.00005833745,0.000004510683,0.000005640818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1152558,"threshold_uncertainty_score":0.3541977,"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."}}