{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002236859,0.0007491244,0.0004543099,0.0004397384,0.000242288,0.0003696983,0.000490133,0.0003748148,0.0004468153],"category_scores_gemma":[0.0023326,0.0001818143,0.0005127462,0.0003142333,0.0001610678,0.0003339266,0.0004214999,0.0005099944,0.0001293667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004539025,"about_ca_system_score_gemma":0.000338966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003883728,"about_ca_topic_score_gemma":0.003531104,"domain_scores_codex":[0.9995446,0.0001845389,0.00002078652,0.0001575526,0.00006216939,0.00003043262],"domain_scores_gemma":[0.9988594,0.0007071742,0.000076323,0.0001019682,0.0001996152,0.00005551488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001133815,0.0008422813,0.1420552,0.000100788,0.000546613,0.0004439993,0.0002999441,0.6217241,0.07630599,0.0007338064,0.0007797236,0.1550338],"study_design_scores_gemma":[0.00003347609,0.0004106213,0.03587901,0.000006539924,0.0001244843,0.00005635749,0.0000424517,0.95266,0.01024616,0.000209445,0.0003066376,0.0000248447],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616222,0.0001440897,0.03730435,0.00005644044,0.00001355436,0.00002605675,0.0002851981,0.0002587629,0.0002894714],"genre_scores_gemma":[0.9640045,0.00006800715,0.03431222,0.00002927298,0.000006816216,0.00003795549,0.00113734,0.00003342075,0.0003704969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003883728,"threshold_uncertainty_score":0.01182979,"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."}}