{"id":"W2968631950","doi":"10.2135/cropsci2019.03.0185","title":"Association Mapping Considering Allele Dosage: An Example of Forage Traits in an Interspecific Segmental Allotetraploid <i>Urochloa</i> spp. Panel","year":2019,"lang":"en","type":"article","venue":"Crop Science","topic":"Plant Taxonomy and Phylogenetics","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Boise Cascade (Canada)","funders":"Centro Nacional de Processamento de Alto Desempenho em São Paulo; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Empresa Brasileira de Pesquisa Agropecuária; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Biology; Epistasis; Genetic gain; Forage; Allele; Ploidy; Genome-wide association study; Genetics; Single-nucleotide polymorphism; Genotype; Genetic variation; Agronomy; 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":[0.0006368856,0.0001030791,0.0001507679,0.00003200294,0.0001260594,0.0001080608,0.0004308701,0.00005938527,0.0001674202],"category_scores_gemma":[0.00002408442,0.00005388817,0.00003208925,0.0004783764,0.0001172981,0.0004646192,0.00007425594,0.0001047657,0.00001810773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006996303,"about_ca_system_score_gemma":0.00002397289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003973055,"about_ca_topic_score_gemma":0.001520765,"domain_scores_codex":[0.9987275,0.00005285022,0.0002226952,0.000386588,0.0002752958,0.000335044],"domain_scores_gemma":[0.9995651,0.00007891365,0.0001299074,0.0000686619,0.00005622453,0.0001011566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000008104453,0.0000641255,0.05729068,0.000003818161,0.000001332254,0.000001933475,0.0005008861,0.00006223062,0.9336036,0.00004906078,0.00001557493,0.008398616],"study_design_scores_gemma":[0.0002513006,0.0004180016,0.8947737,0.00003301962,0.000003349348,0.000008915515,0.002965288,0.001017505,0.09564809,0.0001489781,0.004449295,0.0002825535],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989086,0.00004003138,0.00001475379,0.00004933598,0.0001055974,0.0001865519,0.00003073523,0.00002196134,0.0006423832],"genre_scores_gemma":[0.9992732,0.00001369845,0.0004840519,0.00009408424,0.00004261674,0.000003456694,0.00002208131,7.503733e-7,0.00006604486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8379555,"threshold_uncertainty_score":0.2197496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06946618574876025,"score_gpt":0.2261103049528224,"score_spread":0.1566441192040621,"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."}}