{"id":"W4408031870","doi":"10.1007/s00122-025-04838-7","title":"Fine mapping of stripe rust resistance gene YrAn1589 in common wheat using Wheat660K SNP array and BSR-Seq","year":2025,"lang":"en","type":"article","venue":"Theoretical and Applied Genetics","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"Jiangsu Collaborative Innovation Center for Modern Crop Production","keywords":"Biology; Plant biochemistry; Stripe rust; SNP array; Genetics; SNP; Gene; Common wheat; Resistance (ecology); Rust (programming language); Gene mapping; Computational biology; Plant disease resistance; Single-nucleotide polymorphism; Genotype; Agronomy; Chromosome","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002500873,0.0001675362,0.0003475683,0.00003224414,0.0001160048,0.00003003507,0.000131073,0.0001568717,0.00005693567],"category_scores_gemma":[0.000007598559,0.0000815074,0.000033511,0.0002960743,0.0005533294,0.0000100164,0.0001004531,0.0001375151,7.254683e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007562816,"about_ca_system_score_gemma":0.000008765947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001470774,"about_ca_topic_score_gemma":0.0001934401,"domain_scores_codex":[0.9989125,0.00005768217,0.000333133,0.0003075373,0.0001041789,0.0002849892],"domain_scores_gemma":[0.999606,0.0001603871,0.00004671531,0.0000802189,0.00002704321,0.00007961614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001010047,0.00005571634,0.004818768,0.00004288112,0.000008159067,0.000002182564,0.00008613852,0.00001410233,0.892226,0.0786659,0.00002110627,0.02395804],"study_design_scores_gemma":[0.001228476,0.0003094702,0.1210456,0.0002353665,0.00008620812,0.00001341741,0.0005323412,0.0004701965,0.5601401,0.3124378,0.002866369,0.0006346034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927909,0.002424132,0.0001838796,0.0006950729,0.00004779348,0.0001955655,0.00003599145,0.00001151555,0.003615086],"genre_scores_gemma":[0.9972467,0.0005979955,0.001853287,0.0001418269,0.00006767707,0.000005736932,0.0000161283,0.00000159525,0.00006907884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3320858,"threshold_uncertainty_score":0.3323776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676194783490618,"score_gpt":0.2320667878496539,"score_spread":0.2153048400147477,"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."}}