{"id":"W4394697125","doi":"10.5376/lgg.2024.15.0002","title":"Key Genetic Markers Discovered through GWAS in Leguminous Crops and Their Application in Molecular Breeding","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Biology; Genome-wide association study; Molecular breeding; Plant breeding; Biotechnology; Computational biology; Genetics; Evolutionary biology; Agronomy; Single-nucleotide polymorphism; Gene; Genotype; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002554381,0.0007357397,0.0005729298,0.002065397,0.0002627188,0.001061996,0.0003830944,0.0005686789,0.002170624],"category_scores_gemma":[0.00274351,0.0002301951,0.0005657373,0.002718928,0.0003538722,0.000503764,0.0004192622,0.0004553988,0.0003402692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002561492,"about_ca_system_score_gemma":0.0004718593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009369691,"about_ca_topic_score_gemma":0.001784713,"domain_scores_codex":[0.9992815,0.0003310078,0.00005600886,0.0001784246,0.000101966,0.00005116071],"domain_scores_gemma":[0.9981337,0.001004407,0.0004784416,0.0001302827,0.000129292,0.0001237786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001300853,0.0002051221,0.5509726,0.0008497551,0.001476438,0.001503002,0.0003017743,0.003065057,0.2063656,0.003658648,0.001199447,0.2291017],"study_design_scores_gemma":[0.000128667,0.0005772125,0.9539113,0.000211838,0.001176339,0.001506185,0.0003681055,0.008947054,0.01732143,0.006458972,0.009316069,0.00007688076],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8983772,0.02072493,0.07143862,0.001824581,0.000220146,0.00009596136,0.003307767,0.0004973278,0.003513421],"genre_scores_gemma":[0.9613116,0.003781156,0.03282366,0.0003153757,0.00009235078,0.00003800811,0.0009650315,0.00003994507,0.0006329191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002554381,"threshold_uncertainty_score":0.01350904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006470761650164511,"score_gpt":0.2086447580909989,"score_spread":0.2021739964408344,"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."}}