{"id":"W4205754523","doi":"10.1094/php-01-21-0013-rs","title":"Soybean Yield Loss Estimates Due to Diseases in the United States and Ontario, Canada, from 2015 to 2019","year":2021,"lang":"en","type":"article","venue":"Plant Health Progress","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":200,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture, Food and Rural Affairs","funders":"United Soybean Board","keywords":"Sclerotinia sclerotiorum; Sclerotinia; Biology; Crop; Yield (engineering); Heterodera; Agronomy; Horticulture; Nematode; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004837211,0.0005807691,0.0002524612,0.002391434,0.001114178,0.0009529577,0.0006367384,0.0001766419,0.001207928],"category_scores_gemma":[0.001226092,0.0001915527,0.00073542,0.004004047,0.0002744264,0.0003685306,0.0005881489,0.0003229447,0.0002353285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03314387,"about_ca_system_score_gemma":0.02528852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946509,"about_ca_topic_score_gemma":0.9974688,"domain_scores_codex":[0.9994596,0.00001773504,0.00004726883,0.00005945118,0.0003192535,0.00009661232],"domain_scores_gemma":[0.998077,0.00003951981,0.0002832771,0.00002450188,0.001405779,0.000169915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000261757,0.00002749951,0.9407924,0.000358019,0.0004161168,0.0003661545,0.0006395935,0.003230042,0.001368349,0.0006200977,0.02222453,0.02969533],"study_design_scores_gemma":[0.000009939993,0.00001741953,0.984899,0.00007426491,0.0000890658,0.00009600901,0.0005548238,0.001292643,0.0002366061,0.00005343538,0.01265874,0.00001818651],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8072741,0.01573375,0.001868249,0.002362954,0.0001215155,0.0001486853,0.1409154,0.0002285219,0.03134692],"genre_scores_gemma":[0.9330257,0.008031942,0.001239309,0.0003079608,0.00002474368,0.00004788621,0.04870007,0.0000233294,0.008599172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03314387,"threshold_uncertainty_score":0.2404767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02001776478389631,"score_gpt":0.2412870290087672,"score_spread":0.2212692642248709,"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."}}