{"id":"W2326978061","doi":"10.1016/j.cj.2016.03.001","title":"Accuracy of genomic selection in biparental populations of flax ( Linum usitatissimum L.)","year":2016,"lang":"en","type":"article","venue":"The Crop Journal","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"","keywords":"Biology; Best linear unbiased prediction; Selection (genetic algorithm); Linum; Quantitative trait locus; Plant breeding; Lasso (programming language); Genetics; Agronomy; Machine learning; Gene","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":[0.003926334,0.000522132,0.0003564378,0.0004448302,0.0002055814,0.0004959395,0.0003827304,0.0003307043,0.0004297339],"category_scores_gemma":[0.004278723,0.0001391146,0.000412855,0.0003270145,0.0002704139,0.0002747293,0.0003859541,0.0004330016,0.0001675666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000376947,"about_ca_system_score_gemma":0.000194898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003104365,"about_ca_topic_score_gemma":0.004517506,"domain_scores_codex":[0.9985996,0.0006888004,0.00006666167,0.0004012393,0.000191423,0.00005234405],"domain_scores_gemma":[0.9969625,0.001786264,0.0005010606,0.0003705821,0.0003085806,0.00007111961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002084011,0.0003876172,0.3628088,0.0002784576,0.001879122,0.0003173221,0.0004881676,0.1658043,0.2512486,0.001459772,0.001390412,0.2118534],"study_design_scores_gemma":[0.00007832323,0.0006134156,0.5224429,0.00003409974,0.0004701651,0.0002216701,0.0001028237,0.4403171,0.03328568,0.001161306,0.001159649,0.0001128013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724965,0.0003222688,0.02582431,0.00005743378,0.00001061732,0.000008984308,0.0003710416,0.000369134,0.000539689],"genre_scores_gemma":[0.9916672,0.00007143267,0.007243935,0.0000357754,0.000003565668,0.00001104964,0.0007215236,0.00004099312,0.0002045378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003926334,"threshold_uncertainty_score":0.02076471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02143952992290742,"score_gpt":0.2814917841373527,"score_spread":0.2600522542144452,"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."}}