{"id":"W2895091065","doi":"10.2135/cropsci2018.01.0031","title":"Identification of QTLs Associated with Biological Nitrogen Fixation Traits in Soybean Using a Genotyping‐by‐Sequencing Approach","year":2018,"lang":"en","type":"article","venue":"Crop Science","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação Araucária; Empresa Brasileira de Pesquisa Agropecuária; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Université Laval","keywords":"Biology; Quantitative trait locus; Population; Genetics; Locus (genetics); Single-nucleotide polymorphism; Genotyping; Genetic linkage; Genotype; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005877191,0.0004892789,0.0005617815,0.0007373305,0.0001751448,0.000248675,0.0002568438,0.0002942064,0.000623473],"category_scores_gemma":[0.0003456466,0.0002962148,0.0005855586,0.0005040397,0.0001386605,0.0001209411,0.0002666131,0.0003377623,0.0002552942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002192352,"about_ca_system_score_gemma":0.0003208551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002584602,"about_ca_topic_score_gemma":0.004545016,"domain_scores_codex":[0.9997781,0.00003184536,0.00002098236,0.00009788194,0.00004308168,0.00002824056],"domain_scores_gemma":[0.9997483,0.00008751766,0.00007697574,0.00001358587,0.00002545156,0.00004805113],"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":[0.0001458437,0.00003428105,0.004151457,0.00004413982,0.00002520108,0.00008472861,0.00006328908,0.0003574792,0.9902607,0.00004790592,0.00002585142,0.004759206],"study_design_scores_gemma":[0.0002904001,0.0012439,0.8358276,0.00004411361,0.0004247994,0.001310736,0.0002390356,0.01816941,0.1374991,0.0003751227,0.004488533,0.00008727028],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983257,0.0003683977,0.01416529,0.00004611448,0.000009652293,0.00008042438,0.001499441,0.00009382804,0.0004798704],"genre_scores_gemma":[0.9416538,0.0004304647,0.0496762,0.00009817867,0.00001272633,0.0001362568,0.00676962,0.00006678317,0.001156004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002584602,"threshold_uncertainty_score":0.005139053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0543959836061155,"score_gpt":0.2501850493830683,"score_spread":0.1957890657769528,"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."}}