{"id":"W2323379408","doi":"10.1094/pdis-04-15-0404-re","title":"Evaluation of Forecasting Models for Fusarium Head Blight of Wheat Under Growing Conditions of Quebec, Canada","year":2016,"lang":"en","type":"article","venue":"Plant Disease","topic":"Mycotoxins in Agriculture and Food","field":"Agricultural and Biological Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Council on Foreign Relations; Grain Research Centre; Agriculture and Agri-Food Canada; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Université Laval","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Fungicide; Blight; Biology; Winter wheat; Fusarium; Crop; Predictive modelling; Agronomy; Growing season; Statistics; Horticulture; Mathematics","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":[0.000205099,0.00007376567,0.0001427943,0.000009232987,0.00005061501,0.000003551095,0.00009636413,0.00003074947,0.00007504962],"category_scores_gemma":[0.00008918357,0.00002336054,0.00007227434,0.00008728446,0.00002717439,0.0001270189,0.00001676706,0.00001626748,1.800137e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004087421,"about_ca_system_score_gemma":0.000109629,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05232675,"about_ca_topic_score_gemma":0.5332817,"domain_scores_codex":[0.9991066,0.000047693,0.0002288274,0.0001254154,0.0003665511,0.0001248686],"domain_scores_gemma":[0.9991781,0.0002842145,0.0001330941,0.00004150656,0.0002808469,0.00008225755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001875717,0.0002445737,0.002242457,0.0001217906,0.0001044261,0.000001538951,0.00005850391,0.001314356,0.9697115,0.01056582,0.005102855,0.01034456],"study_design_scores_gemma":[0.004459707,0.0007676613,0.2661847,0.002067477,0.002476122,0.00001100542,0.001652498,0.04467063,0.5512961,0.1216914,0.003313186,0.00140961],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933207,0.0002105631,0.00007472557,0.000966756,0.00007548273,0.0003157307,0.004762344,0.000006213739,0.0002674729],"genre_scores_gemma":[0.999412,0.000007415478,0.00002099152,0.00004131776,0.00005808584,0.00003127542,0.0003661807,5.401388e-7,0.00006221953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.480955,"threshold_uncertainty_score":0.9539839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07725412192016921,"score_gpt":0.2476640621254332,"score_spread":0.170409940205264,"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."}}