{"id":"W4416520902","doi":"10.1094/php-09-25-0227-rs","title":"Estimated Soybean Yield and Economic Losses Caused by Diseases in the United States and Ontario, Canada, from 2020 to 2024","year":2025,"lang":"en","type":"article","venue":"Plant Health Progress","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture, Food and Rural Affairs","funders":"Mississippi Soybean Promotion Board; Agricultural Adaptation Council; Louisiana Soybean and Grain Research and Promotion Board; Missouri Soybean Merchandising Council; Indiana Soybean Alliance; Illinois Soybean Association; Wisconsin Soybean Marketing Board; Grain Farmers of Ontario; United Soybean Board; Arkansas Soybean Promotion Board","keywords":"Bushel; Phytophthora; Yield (engineering); Sclerotinia sclerotiorum; Root rot; Crop; Sclerotinia; Infestation; Crop yield","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":[0.0003445908,0.0007562623,0.0002088148,0.002010498,0.000899755,0.0009911238,0.000538133,0.0001849069,0.002846916],"category_scores_gemma":[0.0008865441,0.0002199093,0.0008248259,0.00331102,0.0002284672,0.000387839,0.0004436774,0.000332919,0.0004997975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02705112,"about_ca_system_score_gemma":0.01733129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9897183,"about_ca_topic_score_gemma":0.9941728,"domain_scores_codex":[0.9995752,0.00001376259,0.000028941,0.0000335636,0.0002610759,0.00008739242],"domain_scores_gemma":[0.9990327,0.00001804857,0.0001151995,0.00001053577,0.0007138452,0.0001096698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004045359,0.00004626443,0.8437825,0.0008142548,0.0008302068,0.0009345588,0.0006852791,0.008753388,0.002524859,0.001621209,0.07205521,0.06754775],"study_design_scores_gemma":[0.00002334996,0.00003604895,0.9525483,0.0001304247,0.0001594795,0.0001940515,0.0007428438,0.002616792,0.0003719492,0.0001457702,0.04299828,0.00003261525],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6633008,0.02045913,0.001705859,0.003504886,0.0001701316,0.0001294878,0.2473338,0.0004560715,0.06293971],"genre_scores_gemma":[0.8639752,0.01705669,0.001617586,0.0004449214,0.00003529539,0.00006166036,0.08569622,0.00003855664,0.03107384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02705112,"threshold_uncertainty_score":0.1962705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01703223188709082,"score_gpt":0.2380015536875146,"score_spread":0.2209693218004238,"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."}}