{"id":"W2313260610","doi":"10.3389/fpls.2016.00386","title":"Agronomic and Seed Quality Traits Dissected by Genome-Wide Association Mapping in Brassica napus","year":2016,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Deutsche Forschungsgemeinschaft; Max-Planck-Gesellschaft; Leibniz-Gemeinschaft; Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung; Georg-August-Universität Göttingen; University of Warwick","keywords":"Brassica; Biology; Genome-wide association study; Genome; Quality (philosophy); Association mapping; Genetics; Botany; Agronomy; Gene; Genotype; Single-nucleotide polymorphism","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":[0.001003506,0.0001112091,0.0001648701,0.00012041,0.00008320901,0.00003587742,0.0002206133,0.00009867864,0.000001912961],"category_scores_gemma":[0.0006083811,0.0000891408,0.00002388744,0.0002256447,0.000158684,0.00002089191,0.00006296501,0.00008114928,0.000001848142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001642481,"about_ca_system_score_gemma":0.00009610514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001995152,"about_ca_topic_score_gemma":0.00005077508,"domain_scores_codex":[0.9987193,0.0001250363,0.0002085523,0.0004285217,0.0001590901,0.0003594985],"domain_scores_gemma":[0.9996036,0.00006423868,0.00009625025,0.0001245346,0.00002016405,0.00009125705],"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":[0.00002017284,0.00001632405,0.3923336,0.000003300725,0.000003590217,0.000001202143,0.00005183516,6.077307e-7,0.6052843,0.000004637022,0.001166221,0.001114239],"study_design_scores_gemma":[0.0006997187,0.00003784111,0.9259579,0.00002205911,0.000001946538,0.000001795039,0.00009287224,0.00006485716,0.07055865,0.00008031174,0.002298604,0.0001834528],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958742,0.000282306,0.002794081,0.0004181849,0.0001950827,0.0001480129,0.0000860115,0.000008555186,0.000193602],"genre_scores_gemma":[0.9985294,0.00009894872,0.0008264252,0.0001591046,0.00002404167,0.00001172864,0.00003091344,0.000006105952,0.0003133808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5347257,"threshold_uncertainty_score":0.3635056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004899559620539658,"score_gpt":0.2131009102035655,"score_spread":0.2082013505830259,"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."}}