{"id":"W2742847291","doi":"10.1007/s00122-017-2960-y","title":"Detecting the QTL-allele system conferring flowering date in a nested association mapping population of soybean using a novel procedure","year":2017,"lang":"en","type":"article","venue":"Theoretical and Applied Genetics","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"Program for Changjiang Scholars and Innovative Research Team in University; National Natural Science Foundation of China","keywords":"Biology; Quantitative trait locus; Genetics; Genome-wide association study; Linkage disequilibrium; Allele; Population; Heritability; Locus (genetics); Genetic association; Genetic architecture; Association mapping; Family-based QTL mapping; Single-nucleotide polymorphism; Gene mapping; Haplotype; Genotype; Gene; Chromosome; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001600976,0.0004099186,0.000753051,0.001114739,0.0005950216,0.0004916408,0.0009650402,0.0005244126,0.001188237],"category_scores_gemma":[0.002957833,0.0005222848,0.0009136103,0.0005581686,0.0007461559,0.0003472036,0.001092268,0.001278115,0.0002614218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004320014,"about_ca_system_score_gemma":0.0009692241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002848122,"about_ca_topic_score_gemma":0.007961577,"domain_scores_codex":[0.9987348,0.0003176973,0.00006560788,0.0006288145,0.000167652,0.00008546834],"domain_scores_gemma":[0.9977723,0.001403405,0.0001906252,0.0002919903,0.000101122,0.0002405031],"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":[0.0003681989,0.0003225477,0.0169872,0.000066045,0.0001607609,0.0003726685,0.0004500638,0.001990409,0.9395201,0.002550871,0.00008717291,0.03712394],"study_design_scores_gemma":[0.001084583,0.0022763,0.3918003,0.0000507135,0.00126939,0.006664454,0.0004185321,0.2430632,0.3383031,0.007962492,0.00663807,0.0004688745],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4741947,0.00007187714,0.5236091,0.00007280469,0.00003821865,0.0002195821,0.0003212113,0.0005881676,0.0008843481],"genre_scores_gemma":[0.5009376,0.0000621731,0.4968878,0.00008945177,0.00001599273,0.0001977969,0.000591192,0.0001137519,0.001104218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002848122,"threshold_uncertainty_score":0.008466899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02492705705405809,"score_gpt":0.2294625010563822,"score_spread":0.2045354440023242,"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."}}