{"id":"W2531892472","doi":"10.2135/cropsci2016.01.0031","title":"QTL Identification for Brace‐Root Traits of Maize in Different Generations and Environments","year":2016,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"Fundamental and Frontier Research Project of Chongqing","keywords":"Quantitative trait locus; Brace; Biology; Population; Root (linguistics); Trait; Lateral root; Horticulture; Agronomy; Genetics; Gene","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":[0.0001135025,0.0000375929,0.00004233087,0.00002765219,0.00006809191,0.00001339771,0.00009056969,0.00002144382,0.000004212777],"category_scores_gemma":[0.00004565997,0.00002548465,0.00001240684,0.00002891945,0.0001732273,0.000003814944,0.00003822378,0.000006705131,8.900681e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003937717,"about_ca_system_score_gemma":0.00001749655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002126756,"about_ca_topic_score_gemma":0.000009042057,"domain_scores_codex":[0.9995996,0.000005979625,0.00008036772,0.000165174,0.00006207943,0.00008681723],"domain_scores_gemma":[0.9998459,0.000006321056,0.00003334445,0.00007194001,0.00001321029,0.00002934896],"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":[0.000005623403,0.00001948367,0.006120521,0.000003580079,0.00000116815,4.783015e-8,0.0000325119,0.000004743088,0.9909294,0.0002400556,0.00007974779,0.002563088],"study_design_scores_gemma":[0.000250803,0.00005816413,0.3681065,0.000008339123,0.000002688272,9.30294e-7,0.00002592199,0.00004452294,0.6295073,0.0000999112,0.001848812,0.00004613853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922699,0.00005712023,0.007322535,0.0001350581,0.00003362201,0.00007483457,0.00003375149,8.68138e-7,0.00007224777],"genre_scores_gemma":[0.9988616,0.00004898806,0.0002646679,0.00001585934,0.0000183537,0.000004450667,0.000003827159,0.000001248385,0.0007809774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.361986,"threshold_uncertainty_score":0.1039234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144692034661215,"score_gpt":0.2403463644397729,"score_spread":0.2258771609736514,"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."}}