{"id":"W2166898351","doi":"10.1038/hdy.2010.71","title":"Detecting population structure in a high gene-flow species, Atlantic herring (Clupea harengus): direct, simultaneous evaluation of neutral vs putatively selected loci","year":2010,"lang":"en","type":"article","venue":"Heredity","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":151,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Vetenskapsrådet; Göteborgs Universitet; Centre Méditerranéen de l’Environnement et de la Biodiversité; Svenska Forskningsrådet Formas; Eli Lilly and Company","keywords":"Biology; Clupea; Population; Locus (genetics); Microsatellite; Evolutionary biology; Genetics; Gene flow; Genetic divergence; Atlantic herring; Genetic structure; Herring; Genetic variation; Genetic diversity; Gene; Fishery; Allele","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":[0.0003017468,0.0002056318,0.0001736413,0.0006385241,0.0003423005,0.0003973295,0.000233549,0.0003501217,0.0003216254],"category_scores_gemma":[0.0004596666,0.0002414921,0.00009649912,0.0002880597,0.000492628,0.0002387087,0.0002422922,0.0003124341,0.00007327223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001683757,"about_ca_system_score_gemma":0.0001838189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003011851,"about_ca_topic_score_gemma":0.01029388,"domain_scores_codex":[0.9998627,0.00002531477,0.000005962835,0.00005662632,0.00002959243,0.00001981831],"domain_scores_gemma":[0.9995533,0.0001766255,0.00009821559,0.00001973505,0.00006466858,0.00008741068],"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":[0.0004226437,0.00008153966,0.1799589,0.00005079124,0.00006225726,0.00007983049,0.0003370479,0.0002377995,0.8071054,0.0001168751,0.00002458128,0.01152232],"study_design_scores_gemma":[0.00006056797,0.0006101336,0.9443157,0.000006220345,0.0001360224,0.0006659387,0.0004057666,0.002838953,0.05050693,0.0001974104,0.0002388538,0.00001736152],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999193,0.0000657391,0.0005571339,0.000005829104,9.844338e-7,0.000002126162,0.00002158893,0.0000042245,0.0001493842],"genre_scores_gemma":[0.9977491,0.000046317,0.001971945,0.00001557787,0.000002323815,0.000004222345,0.00005180476,0.000002152685,0.0001564377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003011851,"threshold_uncertainty_score":0.005988657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135596770103501,"score_gpt":0.2428707071584255,"score_spread":0.2293110301480754,"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."}}