{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001449216,0.0003928995,0.0002822051,0.0002725974,0.0002768016,0.0004634815,0.0004512435,0.0002657385,0.0006061583],"category_scores_gemma":[0.001916859,0.0001747397,0.000484652,0.0002585989,0.0002354564,0.0003361201,0.0004201581,0.0005027945,0.0001657912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004661537,"about_ca_system_score_gemma":0.0005549965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008710545,"about_ca_topic_score_gemma":0.01475383,"domain_scores_codex":[0.9996656,0.0001538754,0.00001331909,0.0001113471,0.00003353103,0.00002238158],"domain_scores_gemma":[0.999276,0.0004118435,0.00008076468,0.0001136426,0.00007302844,0.00004474215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0009584686,0.0005390564,0.1525568,0.0001825528,0.0006860477,0.0005820917,0.0008982941,0.3207413,0.3132697,0.007830102,0.000879656,0.200876],"study_design_scores_gemma":[0.0001138954,0.0007339774,0.07867766,0.00003836506,0.0003288037,0.0003163461,0.0001601591,0.8874215,0.02419675,0.005239865,0.002692933,0.00007959438],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8978835,0.0001067795,0.1003098,0.0000818939,0.00001054049,0.00004461497,0.0002968801,0.0003296806,0.0009362648],"genre_scores_gemma":[0.9320725,0.00008546033,0.0666149,0.00003400775,0.000004519787,0.00004502215,0.0006572897,0.00002925766,0.0004569544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008710545,"threshold_uncertainty_score":0.01731968,"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."}}