{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002470335,0.0001648212,0.0002022329,0.00006895955,0.00009739064,0.00002356705,0.0001321348,0.0002701264,0.0001250007],"category_scores_gemma":[0.0003921276,0.0001737702,0.00005091848,0.0002325882,0.00004115784,0.000008489371,0.00005855359,0.0002401299,0.000001246109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003478696,"about_ca_system_score_gemma":0.00007862422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009244995,"about_ca_topic_score_gemma":0.009886778,"domain_scores_codex":[0.9987534,0.0001597005,0.0002587215,0.0003353525,0.0002837223,0.0002090639],"domain_scores_gemma":[0.9992089,0.00002916115,0.0001741136,0.0002095463,0.0003198085,0.00005842923],"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":[0.0001472936,0.00003306351,0.2865922,0.00003948538,0.00004413668,0.000004296564,0.0003570863,0.09995206,0.6093234,0.00001054951,0.00006071434,0.003435698],"study_design_scores_gemma":[0.0009678734,0.00008485751,0.8045046,0.0000117421,0.00005985804,0.00001819687,0.00006398269,0.01561838,0.1779723,0.0001994576,0.0002751614,0.0002236583],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989045,0.00004667393,0.0001040976,0.00001268529,0.0004459453,0.0002653651,0.000114204,0.00001664282,0.00008987761],"genre_scores_gemma":[0.9967383,0.000004631616,0.001930734,0.00001575897,0.0003393694,0.000002968693,0.0009200965,0.00001302839,0.00003507172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5179123,"threshold_uncertainty_score":0.7086141,"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."}}