{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001725026,0.0002493257,0.0002112588,0.001495898,0.001342951,0.0007500055,0.0004674652,0.0001960039,0.001203209],"category_scores_gemma":[0.0003569137,0.0002156211,0.0002580898,0.001661543,0.0006157098,0.00019424,0.00042962,0.0002621456,0.0001713641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009432083,"about_ca_system_score_gemma":0.008712587,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9544305,"about_ca_topic_score_gemma":0.9840893,"domain_scores_codex":[0.9995602,0.00001369374,0.00002128466,0.0001129133,0.0001531555,0.0001387955],"domain_scores_gemma":[0.9987991,0.00003895992,0.0003491661,0.00003891885,0.0005205433,0.0002532576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002533268,0.00004087944,0.9363774,0.00008410394,0.0000511054,0.0005615893,0.002152495,0.0001164483,0.04649894,0.0001639364,0.0008464503,0.01285328],"study_design_scores_gemma":[0.000001483982,0.00001126297,0.9983281,0.000005286213,0.000004489013,0.00006693284,0.0004191561,0.00003379212,0.0003221281,0.00000381872,0.0007981072,0.000005418999],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952227,0.0002751563,0.00008945167,0.00004861163,0.00000377988,0.00002527356,0.001386015,0.00001451155,0.0029344],"genre_scores_gemma":[0.9969801,0.0002466401,0.0001528313,0.0000333394,0.000001888948,0.000008810655,0.001190601,0.000006274668,0.001379388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04556948,"threshold_uncertainty_score":0.09167564,"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."}}