{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001411022,0.0002120124,0.0001814647,0.00008331662,0.00006019238,0.0001251849,0.0001313791,0.0001646169,0.000003198841],"category_scores_gemma":[0.000008336114,0.0002045327,0.00004479743,0.0001075753,0.00009518236,0.000005735584,0.0001817488,0.0001147771,0.000002893922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001911079,"about_ca_system_score_gemma":0.00005063593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001786452,"about_ca_topic_score_gemma":0.0001975674,"domain_scores_codex":[0.9988463,0.00003251162,0.0002415077,0.0005174531,0.00006947372,0.0002927505],"domain_scores_gemma":[0.9996598,0.00001542978,0.00003686539,0.0002000298,0.00001731045,0.00007059889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000835563,0.00006290415,0.03243829,0.000195008,0.0000647932,0.00005120345,0.001803444,0.001903515,0.9349967,0.0006410708,0.0002689353,0.02749057],"study_design_scores_gemma":[0.005890405,0.002406282,0.27318,0.0006274924,0.0002283292,0.0007448907,0.007489691,0.07374825,0.1981632,0.01971754,0.4136013,0.004202633],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976805,0.0174179,0.004487333,0.0002374642,0.0001015698,0.0002282249,0.00007049792,0.000008412578,0.0006435583],"genre_scores_gemma":[0.9908763,0.006238226,0.002363086,0.0002019064,0.00009145048,0.00001132087,0.000059286,0.00002262724,0.0001358311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7368336,"threshold_uncertainty_score":0.8340603,"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."}}