{"id":"W4385997373","doi":"10.1002/tpg2.20374","title":"<i>k</i> ‐mer‐based GWAS enhances the discovery of causal variants and candidate genes in soybean","year":2023,"lang":"en","type":"article","venue":"The Plant Genome","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Field Crop Research Alliance; Genome Canada; Syngenta Canada; Saskatchewan Pulse Growers; Fonds de recherche du Québec – Nature et technologies; Grain Farmers of Ontario; Génome Québec","keywords":"Genome-wide association study; Biology; Candidate gene; Single-nucleotide polymorphism; Genetics; Indel; Genetic association; SNP; Computational biology; Gene; Genotype","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":[0.002791987,0.0005124427,0.001171601,0.001228276,0.0004622697,0.0009403403,0.0004441356,0.0004221691,0.002382848],"category_scores_gemma":[0.003198885,0.0002758732,0.001303227,0.001726186,0.0002648086,0.0005879239,0.0007633843,0.0005713391,0.0007895446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002756161,"about_ca_system_score_gemma":0.0003073883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002071282,"about_ca_topic_score_gemma":0.007502517,"domain_scores_codex":[0.9987092,0.0003503495,0.000123342,0.0005743097,0.000157394,0.00008541742],"domain_scores_gemma":[0.9973806,0.001225947,0.000527507,0.0004782349,0.0002544218,0.0001332493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003623511,0.0002485556,0.5680119,0.001564829,0.002441731,0.001205456,0.0003908099,0.01034549,0.2838632,0.001564149,0.005357776,0.1213825],"study_design_scores_gemma":[0.0002173713,0.0004494627,0.8961369,0.0001849555,0.001779802,0.001908564,0.0001744546,0.04882002,0.02599355,0.003442224,0.02076904,0.0001235975],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9351082,0.003421555,0.04028976,0.0005550965,0.0001061888,0.00006255082,0.01397439,0.001868743,0.004613438],"genre_scores_gemma":[0.9361784,0.0006161747,0.04899102,0.0003841033,0.00007062817,0.00004571397,0.01257285,0.0003072949,0.0008338088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002791987,"threshold_uncertainty_score":0.01476562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02385766908329772,"score_gpt":0.2103673642575641,"score_spread":0.1865096951742664,"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."}}