{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01059248,0.00140295,0.000950327,0.0007834689,0.0004596526,0.001182032,0.0007519657,0.0008994267,0.001260869],"category_scores_gemma":[0.01092246,0.0004427297,0.001691345,0.0005953106,0.000374754,0.001306555,0.00104688,0.001111005,0.0003024943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005191097,"about_ca_system_score_gemma":0.0007147599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006423679,"about_ca_topic_score_gemma":0.006478821,"domain_scores_codex":[0.9976547,0.001588981,0.00008476776,0.0004259286,0.0001165854,0.0001290366],"domain_scores_gemma":[0.9875537,0.01064289,0.0005123499,0.0006407789,0.0004590764,0.0001911476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009374365,0.0004270014,0.1124777,0.00009402285,0.001435602,0.000230654,0.0001075314,0.843532,0.003880285,0.0007897741,0.0004886916,0.03559936],"study_design_scores_gemma":[0.00001641199,0.0001617676,0.01340044,0.000007578495,0.0001414986,0.0000297221,0.00002080031,0.985005,0.0006331562,0.0004853505,0.00007909914,0.00001918545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9266036,0.0002931335,0.07139394,0.0002295558,0.00003493163,0.00002812803,0.0004099993,0.000364941,0.0006419047],"genre_scores_gemma":[0.9900374,0.00005460955,0.009124706,0.00003572509,0.00001145535,0.00002175105,0.0003779329,0.00001956532,0.0003168853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01059248,"threshold_uncertainty_score":0.05601901,"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."}}