{"id":"W4416720250","doi":"10.1002/csc2.70202","title":"Breeding for quantitative disease resistance: Case studies, emerging approaches, and exploiting pathogen variation","year":2025,"lang":"en","type":"article","venue":"Crop Science","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Grain Research Centre; Agriculture and Agri-Food Canada; McGill University","funders":"","keywords":"Quantitative trait locus; Germplasm; Powdery mildew; Plant disease resistance; Pathosystem; Downy mildew; Plant breeding; Pathogen; Genetic variation; Blight","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00097941,0.0001096163,0.0001371833,0.00003443424,0.001471596,0.0001440862,0.0001640986,0.00002672043,0.000002488284],"category_scores_gemma":[0.0005231164,0.00004714043,0.00003584125,0.0006979955,0.0002316679,0.0002494103,0.0001020477,0.00004812849,5.124057e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004840364,"about_ca_system_score_gemma":0.00003547403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000863842,"about_ca_topic_score_gemma":0.0002234356,"domain_scores_codex":[0.9988645,0.000030601,0.0001721947,0.00046616,0.0001691313,0.0002974053],"domain_scores_gemma":[0.9993667,0.0002532804,0.00008497215,0.00005112082,0.0001449726,0.00009893961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006024136,0.00002541373,0.0003252944,0.00008115886,0.000009687909,0.0001013636,0.0006065952,0.00001711022,0.9093689,0.07281099,0.00007291148,0.01652037],"study_design_scores_gemma":[0.004489003,0.001833119,0.1941983,0.004955871,0.001097213,0.0006548998,0.2558872,0.1206453,0.0694224,0.2829021,0.05735346,0.006561232],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992036,0.002491934,0.003643847,0.0007206923,0.0002432326,0.000357003,0.0001758029,0.00004538498,0.0002860479],"genre_scores_gemma":[0.9946584,0.00008813645,0.004662128,0.00008404365,0.00005771289,0.00005770787,0.00001028784,6.84669e-7,0.0003808747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8399464,"threshold_uncertainty_score":0.9998283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09105944659218987,"score_gpt":0.2960461302351331,"score_spread":0.2049866836429432,"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."}}