{"id":"W4404897561","doi":"10.1111/pbr.13245","title":"Assessing Single‐Trait and Multitrait Genomic Prediction Model Abilities Including Significant GWAS Markers for Fusarium Head Blight Disease Resistance in Wheat (<scp><i>Triticum aestivum</i></scp>)","year":2024,"lang":"en","type":"article","venue":"Plant Breeding","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Manitoba","funders":"Horizon 2020 Framework Programme; Norges Miljø- og Biovitenskapelige Universitet; Norges Forskningsråd; Genome Canada","keywords":"Biology; Fusarium; Quantitative trait locus; Genome-wide association study; Trait; Plant disease resistance; Resistance (ecology); Genetics; Agronomy; Gene; Genotype; Single-nucleotide polymorphism","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003800007,0.0002767362,0.0002249362,0.0001380229,0.0001769593,0.0001791355,0.0001519412,0.0001698989,0.000001273088],"category_scores_gemma":[0.0002525786,0.0002856412,0.00008747419,0.0001031419,0.0001414166,0.0000402773,0.00009484459,0.0001766067,6.035031e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008267408,"about_ca_system_score_gemma":0.0001694908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001463729,"about_ca_topic_score_gemma":0.000064742,"domain_scores_codex":[0.9982272,0.00004744621,0.000386276,0.0006971148,0.000168495,0.0004734962],"domain_scores_gemma":[0.9992756,0.0002545495,0.00006099128,0.0001768667,0.00004941822,0.0001825593],"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":[0.0002125614,0.0001095401,0.003975649,0.001054515,0.00007665382,0.000007452989,0.0008806876,0.006980713,0.9806471,0.003083095,0.00166994,0.001302064],"study_design_scores_gemma":[0.007744474,0.00233149,0.4518352,0.006219313,0.001057216,0.0001789924,0.00646979,0.3265213,0.1119556,0.046242,0.03683813,0.002606473],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9440709,0.005502204,0.04694992,0.0002356826,0.0005403939,0.0005557713,0.001137849,0.00006571985,0.0009416072],"genre_scores_gemma":[0.9741392,0.0000885434,0.02434533,0.00006875477,0.0004741596,0.00009910541,0.0003230452,0.0000489747,0.0004128897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8686916,"threshold_uncertainty_score":0.9999596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03882555856072601,"score_gpt":0.2636103450848889,"score_spread":0.2247847865241629,"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."}}