{"id":"W2296083684","doi":"10.1111/1755-0998.12518","title":"Population structure of Atlantic mackerel inferred from <scp>RAD</scp>‐seq‐derived <scp>SNP</scp> markers: effects of sequence clustering parameters and hierarchical <scp>SNP</scp> selection","year":2016,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; King Abdullah University of Science and Technology","keywords":"Biology; Population genomics; Population; SNP; Genetics; Locus (genetics); Single-nucleotide polymorphism; Genomics; Computational biology; Mackerel; Evolutionary biology; Genotype; Genome; Gene; Fishery; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008880172,0.0002406931,0.0002087399,0.0006918893,0.0004346185,0.0007493565,0.000282529,0.0003236965,0.0006478676],"category_scores_gemma":[0.002052137,0.0002295238,0.00041834,0.0003688468,0.0003547013,0.0003996899,0.0003538219,0.0004950402,0.0001952168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000602489,"about_ca_system_score_gemma":0.0004935177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00994342,"about_ca_topic_score_gemma":0.02027498,"domain_scores_codex":[0.9997543,0.00006882555,0.0000211368,0.0001088691,0.00002883094,0.00001814854],"domain_scores_gemma":[0.9993792,0.0002728222,0.0001301466,0.00009240091,0.00008714062,0.00003836091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004911263,0.000110793,0.5957167,0.0002591416,0.0006755505,0.0004904179,0.00150263,0.05387083,0.2752835,0.003133879,0.0008292001,0.06763627],"study_design_scores_gemma":[0.00004622804,0.0001637879,0.7548425,0.00006224579,0.0003261608,0.0003140483,0.0004233999,0.217479,0.02089739,0.003598822,0.001742127,0.0001043899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990017,0.00009439574,0.008980463,0.00004502078,0.000004009017,0.000007823037,0.0003436711,0.00006453538,0.000443134],"genre_scores_gemma":[0.9865042,0.00006946167,0.0118404,0.00005506758,0.000003923725,0.00001394862,0.001292662,0.00002987543,0.0001905012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00994342,"threshold_uncertainty_score":0.0197711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00859149533769864,"score_gpt":0.2217881552580438,"score_spread":0.2131966599203451,"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."}}