{"id":"W2770154326","doi":"10.1371/journal.pone.0188662","title":"Genome-wide association study for grain yield and related traits in elite wheat varieties and advanced lines using SNP markers","year":2017,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"Jiangsu Collaborative Innovation Center for Modern Crop Production; Natural Science Foundation of Anhui Province; Chinese Academy of Agricultural Sciences","keywords":"Biology; Quantitative trait locus; Genome-wide association study; Locus (genetics); Genetics; Common wheat; Population; SNP; Single-nucleotide polymorphism; Genotype; Chromosome; Gene; Medicine","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":[0.0006883749,0.0002519313,0.0003444213,0.0007285904,0.0002742757,0.0004010505,0.0001945536,0.0002603959,0.0008553488],"category_scores_gemma":[0.0004480539,0.0001371709,0.0004954719,0.001270037,0.0001648031,0.0001206457,0.0003188946,0.0003787511,0.0001881159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001209198,"about_ca_system_score_gemma":0.0001410643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001691884,"about_ca_topic_score_gemma":0.003518032,"domain_scores_codex":[0.9995114,0.00007969884,0.00003897863,0.0002550701,0.00007175349,0.00004322367],"domain_scores_gemma":[0.9995834,0.0001353624,0.0001247868,0.00004335224,0.00005045334,0.00006268842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006988507,0.0001143156,0.869463,0.00008081209,0.001461384,0.0003864889,0.0003337825,0.000361254,0.1055018,0.0001562466,0.0002393837,0.02120265],"study_design_scores_gemma":[0.00001435296,0.00007256919,0.9979361,0.000002792824,0.0001700542,0.0001030131,0.00004677892,0.0004117383,0.000880806,0.00003193043,0.0003256183,0.000004242006],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981163,0.0002829073,0.001034593,0.00001432528,0.000005352615,0.000004730897,0.0003518676,0.00001270741,0.0001772909],"genre_scores_gemma":[0.9975562,0.0001155602,0.001178316,0.00002697863,0.000006188123,0.00001036499,0.0007990706,0.000008914425,0.0002983172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001691884,"threshold_uncertainty_score":0.003640532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05803944110485632,"score_gpt":0.245956718376365,"score_spread":0.1879172772715087,"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."}}