{"id":"W4315866078","doi":"10.3390/plants12020383","title":"Optimal Contribution Selection Improves the Rate of Genetic Gain in Grain Yield and Yield Stability in Spring Canola in Australia and Canada","year":2023,"lang":"en","type":"article","venue":"Plants","topic":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Western Australia","keywords":"Genetic gain; Canola; Biology; Agronomy; Population; Gene–environment interaction; Inbreeding; Leptosphaeria maculans; Animal science; Genetic variation; Biotechnology; Genotype; Demography; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008473155,0.0002563296,0.0002182845,0.0005151321,0.0006824876,0.0003908359,0.0003537523,0.000107911,0.0005360646],"category_scores_gemma":[0.001280035,0.0001186936,0.0001952615,0.0004536172,0.0002573588,0.0001575994,0.000369682,0.0002107418,0.00005310566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003961631,"about_ca_system_score_gemma":0.003508359,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5757949,"about_ca_topic_score_gemma":0.8301052,"domain_scores_codex":[0.9995232,0.0001198509,0.00002036608,0.0001099555,0.0001502324,0.000076428],"domain_scores_gemma":[0.9996061,0.00007832921,0.00003423291,0.00002955765,0.0001623232,0.00008950724],"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":[0.001642421,0.0006487447,0.3217708,0.0001609378,0.0003520933,0.000400503,0.002205136,0.02455659,0.4200418,0.001354191,0.00139182,0.2254749],"study_design_scores_gemma":[0.00007381454,0.0007316531,0.9234989,0.00002134718,0.0001821402,0.0001251113,0.0006152368,0.04014278,0.02973118,0.0003713257,0.004454897,0.00005161274],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978412,0.00007609664,0.0007596711,0.00004181823,0.000001489329,0.00002047471,0.00004822079,0.00002330949,0.001187618],"genre_scores_gemma":[0.9936838,0.0001081493,0.003797948,0.00004129888,0.000001221311,0.00002253404,0.0001415985,0.00001878227,0.002184795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4242051,"threshold_uncertainty_score":0.8534065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01196728781065722,"score_gpt":0.2313208397505709,"score_spread":0.2193535519399136,"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."}}