{"id":"W4365147419","doi":"10.3390/agronomy13041096","title":"Resistance Breeding for Northern Corn Leaf Blight with Dominant Genes, Polygene, and Their Combinations—Effects on Disease Traits","year":2023,"lang":"en","type":"article","venue":"Agronomy","topic":"Plant Disease Resistance and Genetics","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Agricultural Research Service; Canadian Field Crop Research Alliance; Yangzhou University; U.S. Department of Agriculture; Agricultural Adaptation Council; Grain Farmers of Ontario","keywords":"Polygene; Heritability; Biology; Heterosis; Major gene; Additive genetic effects; Veterinary medicine; Genetic analysis; Plant disease resistance; Blight; Inoculation; Genetics; Gene; Horticulture; Quantitative trait locus; Biotechnology; Hybrid; Medicine","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":[0.0005215752,0.0005842892,0.00045486,0.0006982404,0.0002898332,0.0003762754,0.0003170901,0.0001687511,0.001102506],"category_scores_gemma":[0.0001960931,0.0001928885,0.0004413396,0.0006193695,0.0001754452,0.0002790337,0.0004416565,0.0004790883,0.0001529524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005810241,"about_ca_system_score_gemma":0.0004607418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004133124,"about_ca_topic_score_gemma":0.01086654,"domain_scores_codex":[0.9995031,0.00009807767,0.00004446346,0.0001568935,0.0001382091,0.00005927944],"domain_scores_gemma":[0.999791,0.00003625494,0.00006548451,0.00002413384,0.0000257387,0.00005743473],"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":[0.0002595132,0.000126756,0.009463461,0.00008692992,0.00007384433,0.0001076743,0.00008064407,0.0002492814,0.9698439,0.0001375665,0.00006776737,0.0195027],"study_design_scores_gemma":[0.0001189168,0.003102051,0.6709436,0.00004676509,0.0008161021,0.001564793,0.000262554,0.006920808,0.3056984,0.0002572691,0.01017059,0.00009814444],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950423,0.0005467619,0.003033664,0.00003094142,0.00000694288,0.00003709481,0.0001645419,0.00009195134,0.001045775],"genre_scores_gemma":[0.9855215,0.0007274357,0.01017086,0.00007207513,0.00001050202,0.00005650313,0.000813232,0.00005582003,0.002572219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004133124,"threshold_uncertainty_score":0.008218169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184382755356827,"score_gpt":0.1928541355040352,"score_spread":0.1810103079504669,"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."}}