{"id":"W4414624741","doi":"10.1002/tpg2.70123","title":"Harnessing genomic prediction in <i>Brassica napus</i> through a nested association mapping population","year":2025,"lang":"en","type":"article","venue":"The Plant Genome","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Federated Co-operatives (Canada); Agriculture and Agri-Food Canada; Global Institute for Water Security","funders":"Mitacs","keywords":"Genomic selection; Association mapping; Quantitative trait locus; Selection (genetic algorithm); Marker-assisted selection; Single-nucleotide polymorphism; Genetic marker; Population; Trait","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001931053,0.00009210387,0.00009694118,0.00005221392,0.0001650319,0.0000377092,0.0001281598,0.0001406739,0.00001402807],"category_scores_gemma":[0.00003131327,0.00008137529,0.00003987249,0.0001684683,0.00001254727,0.000006939825,0.00006963264,0.00009492303,0.000008376132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007467768,"about_ca_system_score_gemma":0.0000323561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001131276,"about_ca_topic_score_gemma":0.00009919006,"domain_scores_codex":[0.9992918,0.00008630782,0.0001797149,0.0001898626,0.00009576802,0.0001564895],"domain_scores_gemma":[0.9996759,0.00001297828,0.000105637,0.0001652709,0.00002578351,0.00001444675],"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":[0.000092017,0.00002931157,0.3460675,0.0000333704,0.00007679322,0.000001745503,0.0008900714,0.007417732,0.6416112,0.0004137115,0.002250958,0.001115535],"study_design_scores_gemma":[0.000485479,0.00001748729,0.9449263,0.00002338078,0.0000293538,0.000005378933,0.0001985465,0.000363502,0.002045152,0.0008365976,0.05095265,0.0001162079],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956547,0.0002960716,0.001328039,0.0006167936,0.0003251833,0.000193975,0.00009973881,0.00001596236,0.00146956],"genre_scores_gemma":[0.9966747,0.00005263021,0.0002026329,0.0004454089,0.0001233043,0.000006199678,0.001007354,0.000005523244,0.001482309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6395661,"threshold_uncertainty_score":0.3318388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01214834197676602,"score_gpt":0.2115304742560419,"score_spread":0.1993821322792759,"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."}}