{"id":"W3013519488","doi":"10.1002/tpg2.20002","title":"Genomic selection for lentil breeding: Empirical evidence","year":2020,"lang":"en","type":"article","venue":"The Plant Genome","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Saskatchewan Pulse Growers; Genome Prairie; Western Grains Research Foundation; University of Saskatchewan; Genome Canada","keywords":"Biology; Trait; Quantitative trait locus; Heritability; Population; Selection (genetic algorithm); Best linear unbiased prediction; Genomic selection; Plant breeding; Predictive modelling; Genetics; Genotype; Statistics; Agronomy; Machine learning; Single-nucleotide polymorphism; Mathematics; Computer science; Gene","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":[0.0146397,0.00106331,0.0006885828,0.000708417,0.0004954873,0.001686704,0.001573589,0.0008139435,0.002835289],"category_scores_gemma":[0.03479392,0.0002315411,0.0008693272,0.001055736,0.001724168,0.0009818297,0.0006384563,0.0008623292,0.0004535982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000724388,"about_ca_system_score_gemma":0.0006441216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00468658,"about_ca_topic_score_gemma":0.00442961,"domain_scores_codex":[0.9956099,0.002416515,0.0002011206,0.0008792197,0.0007641767,0.0001289172],"domain_scores_gemma":[0.9399061,0.05187697,0.002928153,0.002516409,0.002208246,0.0005641673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001139609,0.0004009453,0.6594399,0.001161184,0.004487125,0.0008398393,0.0009149737,0.0390183,0.008024529,0.009296551,0.003194608,0.2720824],"study_design_scores_gemma":[0.0002968766,0.001602266,0.6867142,0.001045658,0.003465059,0.001219948,0.0009507709,0.2431051,0.008267908,0.03414767,0.01893302,0.0002514736],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9042931,0.01713467,0.05749845,0.004328257,0.0001240299,0.0001112658,0.0008421075,0.0004330708,0.01523496],"genre_scores_gemma":[0.9900851,0.002369415,0.00599808,0.0007537627,0.00007482325,0.00001685212,0.0003687431,0.00004858799,0.0002845225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0146397,"threshold_uncertainty_score":0.0774231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09785801795706675,"score_gpt":0.2774991185942078,"score_spread":0.1796411006371411,"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."}}