{"id":"W3189487718","doi":"10.3390/biology10080756","title":"Evaluation of Genomic Prediction for Fusarium Head Blight Resistance with a Multi-Parental Population","year":2021,"lang":"en","type":"article","venue":"Biology","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; National Research Council Canada; University of Manitoba; Saskatchewan Research Council (Canada)","funders":"National Research Council Canada","keywords":"Biology; Population; Quantitative trait locus; Predictability; Fusarium; Selection (genetic algorithm); Trait; Genomic selection; Statistics; Genetics; Machine learning; Genotype; Biotechnology; Gene; Computer science; Single-nucleotide polymorphism; Mathematics; Demography","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":[0.0002119974,0.00007847008,0.0000994477,0.0000186523,0.00003994553,0.000003069692,0.00005501618,0.0001213938,0.00001344064],"category_scores_gemma":[0.00005882198,0.00007021474,0.00003724249,0.00003566071,0.00004607898,0.000001554581,0.00002081869,0.0000253157,9.259389e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001909136,"about_ca_system_score_gemma":0.0001310669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000915745,"about_ca_topic_score_gemma":0.0002970505,"domain_scores_codex":[0.9992961,0.0001062744,0.0001586559,0.0002526079,0.00007470436,0.0001116679],"domain_scores_gemma":[0.9994151,0.000008924408,0.00008363974,0.0001780364,0.0002906694,0.00002365611],"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":[0.0002839799,0.000122963,0.0418521,0.00002777787,0.0001000887,6.06747e-8,0.00005599058,0.0007564827,0.9514404,0.002191269,0.0001632438,0.003005633],"study_design_scores_gemma":[0.002125006,0.000582694,0.8897511,0.00001101073,0.0001333776,0.00000763749,0.00005293408,0.0002930239,0.1013919,0.001529712,0.003994974,0.0001265205],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9627636,0.001579881,0.03460922,0.0000447836,0.0002276764,0.0003045766,0.0001781859,0.000005630616,0.0002864671],"genre_scores_gemma":[0.9645262,0.00001042174,0.03356205,0.00002600273,0.0001460254,0.00005976093,0.001406529,0.000009259033,0.000253771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8500485,"threshold_uncertainty_score":0.2863274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03367944735979555,"score_gpt":0.3031761007982169,"score_spread":0.2694966534384214,"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."}}