{"id":"W2794673038","doi":"10.2135/cropsci2017.10.0618","title":"Identification of Quantitative Trait Loci for Goss's Wilt of Maize","year":2018,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Agriculture; National Science Foundation","keywords":"Biology; Quantitative trait locus; Introgression; Germplasm; Blight; Bacterial wilt; Locus (genetics); Population; Resistance (ecology); Horticulture; Agronomy; Botany; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002917826,0.0000378883,0.00006138169,0.0000298455,0.00009083986,0.00001095854,0.0002060832,0.00002594329,0.000009553618],"category_scores_gemma":[0.0001515793,0.00003383257,0.00003098907,0.0001022554,0.0007556769,0.000003328495,0.00003910314,0.000009263334,0.000002223064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002032233,"about_ca_system_score_gemma":0.00005821646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009887024,"about_ca_topic_score_gemma":0.000003017654,"domain_scores_codex":[0.9995245,0.000006224639,0.0001206779,0.0001588735,0.00009354729,0.00009620879],"domain_scores_gemma":[0.9994857,0.000007209994,0.00009872253,0.000124603,0.0002577238,0.00002607551],"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":[0.00002800307,0.00001907119,0.0004259718,0.00001550072,0.000004043244,3.157481e-8,0.0001670366,0.000008509598,0.9967895,0.001287726,0.0007181438,0.0005364859],"study_design_scores_gemma":[0.0001486209,0.0003827917,0.008770907,0.000007659911,0.000006732866,8.945288e-7,0.0003131729,0.0002733087,0.9867681,0.00028882,0.002988912,0.00005004565],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860947,0.00005524032,0.01274979,0.00003637425,0.00008072989,0.0000724082,0.00007583069,0.000001723244,0.0008331711],"genre_scores_gemma":[0.9973037,0.00001037462,0.002199661,0.00002305569,0.0000282269,0.000001343183,0.00000686565,0.000001512707,0.0004252254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.011209,"threshold_uncertainty_score":0.2784323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02629901663634973,"score_gpt":0.3025827979361543,"score_spread":0.2762837812998046,"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."}}