{"id":"W3212483875","doi":"10.1094/pdis-12-20-2695-re","title":"Assessing the Use of DNA Detection Platforms Combined with Passive Wind-Powered Spore Traps for Early Surveillance of Potato and Tomato Late Blight in Canada","year":2021,"lang":"en","type":"article","venue":"Plant Disease","topic":"Plant Pathogens and Resistance","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Ministry of Agriculture, Food and Rural Affairs; University of Guelph","funders":"Ontario Agri-Food Innovation Alliance; Agricultural Adaptation Council","keywords":"Phytophthora infestans; Blight; Biology; Spore; Recombinase Polymerase Amplification; Polymerase chain reaction; Horticulture; Botany; Gene; Genetics","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":[0.00004853263,0.00007713538,0.000152985,0.00000637709,0.00006713424,0.00003012096,0.00005277867,0.00002066711,0.000004090181],"category_scores_gemma":[0.00003091807,0.00002512096,0.00002584667,0.0001505644,0.00002883652,0.00009844036,0.0000114607,0.00003484132,3.064173e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001640826,"about_ca_system_score_gemma":0.00008670834,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02556908,"about_ca_topic_score_gemma":0.7265061,"domain_scores_codex":[0.9994346,0.00002249886,0.0001477299,0.0001393087,0.0001254665,0.0001303744],"domain_scores_gemma":[0.9994803,0.0002483398,0.00010913,0.00003962834,0.00005139029,0.00007118479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001465666,0.0001070162,0.591805,0.0001215086,0.00004485449,0.0003402056,0.00007595219,0.000100294,0.4010115,0.00005183844,0.00006478225,0.004811387],"study_design_scores_gemma":[0.0002382544,0.0000496203,0.9918334,0.00007645982,0.0000107231,0.000005847341,0.0001766098,0.000492396,0.006746101,0.00003373574,0.0002571717,0.0000796174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970836,0.0001145674,0.000002020579,0.0001374124,0.00002953441,0.0001590485,0.002465302,0.000004253678,0.000004251358],"genre_scores_gemma":[0.9997222,0.00002990196,0.00001485981,0.00002990358,0.000008243254,0.000005609685,0.0001718978,7.24529e-7,0.00001669265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.700937,"threshold_uncertainty_score":0.9809197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01793497919645138,"score_gpt":0.189784103900222,"score_spread":0.1718491247037706,"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."}}