{"id":"W4327709804","doi":"10.1002/csc2.20953","title":"Identification and characterization of stripe rust, leaf rust, leaf spot, and common bunt resistance in spring wheat","year":2023,"lang":"en","type":"article","venue":"Crop Science","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":6,"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; Agriculture and Agri-Food Canada; Western Grains Research Foundation; Natural Sciences and Engineering Research Council of Canada; Alberta Crop Industry Development Fund","keywords":"Quantitative trait locus; Biology; Rust (programming language); Common wheat; Plant disease resistance; Agronomy; Genetics; Chromosome; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005273888,0.0000644874,0.0001061427,0.00004410432,0.000191679,0.0000766751,0.0001509444,0.00004210072,0.000009405429],"category_scores_gemma":[0.0000259828,0.00003180011,0.00001127917,0.0007697312,0.0003338417,0.0001445432,0.00008454435,0.00005020184,0.00000372759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009285806,"about_ca_system_score_gemma":0.000009127529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009780479,"about_ca_topic_score_gemma":0.0007651618,"domain_scores_codex":[0.9992019,0.00002634396,0.00017951,0.0002692089,0.0001392639,0.0001837701],"domain_scores_gemma":[0.9997509,0.00003396247,0.0000651645,0.00005740585,0.00004354626,0.00004899563],"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":[0.00000775099,0.000009122653,0.04262175,0.000009361685,2.84634e-7,0.000001695636,0.0001166058,0.000001358486,0.9456225,0.0003843947,0.000005986579,0.01121916],"study_design_scores_gemma":[0.00005473859,0.00003714029,0.9212474,0.00002455037,0.000001746454,0.000001404215,0.00008082277,0.0001490395,0.07715038,0.0001820208,0.001004059,0.00006675342],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988753,0.0001225566,0.000004924435,0.0006498372,0.0000906941,0.00009968509,0.00001461954,0.00001600569,0.0001264173],"genre_scores_gemma":[0.9991986,0.0003773591,0.00003532922,0.00002508087,0.00003581832,0.000003801546,0.0000102789,5.307128e-7,0.000313206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8786256,"threshold_uncertainty_score":0.1474259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02122427670193826,"score_gpt":0.2393292691625482,"score_spread":0.2181049924606099,"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."}}