{"id":"W2028463594","doi":"10.2135/cropsci2012.09.0526","title":"Genomic, Marker‐Assisted, and Pedigree‐BLUP Selection Methods for β‐Glucan Concentration in Elite Oat","year":2013,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Biology; Best linear unbiased prediction; Selection (genetic algorithm); Avena; Marker-assisted selection; Genomic selection; Quantitative trait locus; Biotechnology; Genetics; Genotype; Agronomy; Gene; Single-nucleotide polymorphism","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001254899,0.0004217335,0.0003147223,0.0007515158,0.0002727973,0.0003219849,0.0004445166,0.0001879397,0.0003846903],"category_scores_gemma":[0.001269001,0.0001725956,0.0003318188,0.0006220505,0.0001553888,0.0001916627,0.000343556,0.0003342796,0.0001202427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003781502,"about_ca_system_score_gemma":0.0002518045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001930031,"about_ca_topic_score_gemma":0.003606052,"domain_scores_codex":[0.9992071,0.0003216516,0.00005751846,0.000194467,0.0001784914,0.0000408715],"domain_scores_gemma":[0.9992875,0.0003016433,0.0001394214,0.0000735455,0.0001382985,0.00005960204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000414186,0.0002645499,0.01651629,0.00009869023,0.0001330655,0.00009784922,0.0002373528,0.002732057,0.9225721,0.0002183654,0.00009714999,0.05661827],"study_design_scores_gemma":[0.0002177767,0.002650047,0.4822361,0.00002794396,0.0006131905,0.0005303383,0.0002678334,0.05515303,0.4535558,0.0003120815,0.004295957,0.0001398944],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706078,0.0002832718,0.02828647,0.00002291813,0.000009689848,0.00008669733,0.0002290512,0.00009644891,0.0003776379],"genre_scores_gemma":[0.9329913,0.0002754419,0.0639882,0.00003871275,0.000009368665,0.00024041,0.0009936703,0.00009773896,0.001365175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001930031,"threshold_uncertainty_score":0.00663662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818043887701179,"score_gpt":0.2995416785994079,"score_spread":0.2813612397223961,"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."}}