{"id":"W4283756321","doi":"10.3390/plants11131736","title":"Genomic Prediction Accuracy of Stripe Rust in Six Spring Wheat Populations by Modeling Genotype by Environment Interaction","year":2022,"lang":"en","type":"article","venue":"Plants","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Saskatchewan; University of Alberta","funders":"Saskatchewan Wheat Development Commission; Alberta Wheat Commission; Western Grains Research Foundation; Alberta Crop Industry Development Fund","keywords":"Stripe rust; Genotype; Spring (device); Rust (programming language); Biology; Puccinia striiformis; Gene–environment interaction; Genetics; Computer science; Engineering; 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":[0.004268431,0.0009062475,0.000504341,0.0004383313,0.0002839191,0.0008128734,0.0003453844,0.0005230328,0.0002570591],"category_scores_gemma":[0.003407287,0.0002341173,0.001161763,0.0002852929,0.0002646476,0.0004455152,0.0005218146,0.0006167784,0.00009673018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004871245,"about_ca_system_score_gemma":0.0003192925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004688622,"about_ca_topic_score_gemma":0.004757577,"domain_scores_codex":[0.9992439,0.0003765048,0.00003454552,0.0002454631,0.00005373316,0.00004590578],"domain_scores_gemma":[0.9974312,0.002050266,0.0001431271,0.0001395803,0.0001534314,0.00008244001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007297557,0.0002323461,0.3373456,0.00003840483,0.0009149269,0.0001893964,0.0003396046,0.615271,0.01363037,0.0002432728,0.0002912806,0.03077391],"study_design_scores_gemma":[0.00003269947,0.0002309877,0.1085008,0.000007867123,0.0001548061,0.00006728301,0.00007457317,0.8877906,0.002499542,0.0004872383,0.0001168347,0.00003676735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947692,0.00005469719,0.004911512,0.00002251749,0.000002718384,0.000003679815,0.00008547585,0.00005126436,0.00009900019],"genre_scores_gemma":[0.9966498,0.00002584975,0.002745253,0.00001288935,0.000001989534,0.000006905364,0.0004555314,0.00001007407,0.0000916831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004688622,"threshold_uncertainty_score":0.02257395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03601350204484254,"score_gpt":0.2262775557095622,"score_spread":0.1902640536647196,"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."}}