{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002587221,0.0000667436,0.00008359431,0.000008383618,0.000127368,0.00003442354,0.0001640803,0.00002391675,0.00001896666],"category_scores_gemma":[0.000009641524,0.00001793711,0.00001998344,0.0002492715,0.0000675794,0.00003196205,0.00004716014,0.00004292404,0.000007280498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003912501,"about_ca_system_score_gemma":0.000006753785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005112851,"about_ca_topic_score_gemma":0.001367233,"domain_scores_codex":[0.9994571,0.00005570686,0.0001202721,0.000116175,0.0001063383,0.0001444634],"domain_scores_gemma":[0.9996805,0.0001911376,0.00005417597,0.00004855237,0.00000944555,0.00001624308],"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":[0.00002160229,0.00001251395,0.00498001,0.000003709061,0.000006985229,0.000002153779,0.000313729,0.00007205114,0.9929483,0.0001351166,0.00007676629,0.001427049],"study_design_scores_gemma":[0.0001127273,0.00007933994,0.966379,0.00001417107,0.000009479922,0.000002728484,0.0009817588,0.0005223764,0.03001637,0.0006370055,0.001146534,0.00009851374],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998039,0.0002200666,0.000001993338,0.001230516,0.0000543267,0.0001251396,0.0002150853,0.00001135986,0.0001025098],"genre_scores_gemma":[0.9993287,0.0002447002,0.00000304585,0.0001212184,0.0000767858,0.000009279001,0.0001061546,6.135741e-7,0.0001095081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9629319,"threshold_uncertainty_score":0.09796248,"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."}}