{"id":"W2915625927","doi":"10.1094/pdis-06-18-0951-sr","title":"Occurrence and Distribution of Physiological Races of <i>Exserohilum turcicum</i> in Ontario, Canada","year":2019,"lang":"en","type":"article","venue":"Plant Disease","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Ministry of Agriculture, Food and Rural Affairs; Agriculture and Agri-Food Canada","funders":"Agricultural Adaptation Council; Canadian Field Crop Research Alliance; Grain Farmers of Ontario; Ontario Ministry of Agriculture, Food and Rural Affairs; Agriculture and Agri-Food Canada; Ministry of Agriculture, Food and Rural Affairs","keywords":"Exserohilum; Biology; Virulence; Veterinary medicine; Blight; Distribution (mathematics); Incidence (geometry); Horticulture; Botany; Gene; Genetics; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004043388,0.00005308136,0.000122806,0.000002472905,0.00001326862,0.000002666275,0.00006229756,0.00002477121,0.0001358775],"category_scores_gemma":[0.000009305993,0.00002035165,0.00001893956,0.00004549235,0.0000300764,0.00001476057,0.0000269481,0.00004295632,7.222931e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008620188,"about_ca_system_score_gemma":0.000040874,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4601717,"about_ca_topic_score_gemma":0.8435498,"domain_scores_codex":[0.9995783,0.00002409648,0.0001109854,0.0001172165,0.00007073824,0.00009866249],"domain_scores_gemma":[0.9998105,0.00005063412,0.00004140759,0.00002455053,0.00001441718,0.00005849602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001179393,0.00007570628,0.9143613,0.00002145722,0.000002386818,0.00000830651,0.00002077578,0.00001321653,0.08344501,0.00007432204,0.001040904,0.0008186689],"study_design_scores_gemma":[0.00007892642,0.00008276045,0.9974554,0.00001587165,0.000004419889,7.387381e-7,0.00002688433,0.00002515244,0.00107096,0.0000930923,0.001091893,0.00005393778],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974814,0.0001984353,6.225605e-8,0.00009551102,0.00005362345,0.00007350052,0.002051758,0.000001836352,0.00004386307],"genre_scores_gemma":[0.9990091,0.00003549438,0.000001317117,0.00003516156,0.000007414922,0.000001927704,0.0008938388,7.737645e-8,0.00001561802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3833781,"threshold_uncertainty_score":0.5434231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142501831704639,"score_gpt":0.1759206599010627,"score_spread":0.1644956415840163,"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."}}