{"id":"W2805919582","doi":"10.1186/s12870-018-1312-7","title":"Silicon protects soybean plants against Phytophthora sojae by interfering with effector-receptor expression","year":2018,"lang":"en","type":"article","venue":"BMC Plant Biology","topic":"Silicon Effects in Agriculture","field":"Agricultural and Biological Sciences","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Phytophthora sojae; Effector; Biology; Receptor; Apoplast; Cell biology; Virulence; Transcriptome; Plant defense against herbivory; Inoculation; Gene expression; Pathogen; Gene; Botany; Microbiology; Genetics; Cell wall; Horticulture","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001161287,0.0003465011,0.0002644014,0.0001278937,0.00009179663,0.0002451352,0.000170644,0.0002136668,0.0005417588],"category_scores_gemma":[0.00007609015,0.0001839511,0.0002824638,0.00008499223,0.0001773035,0.0001564895,0.0002047922,0.0004554685,0.0001874977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002250292,"about_ca_system_score_gemma":0.0002035121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006588211,"about_ca_topic_score_gemma":0.0009496852,"domain_scores_codex":[0.9999009,0.0000153425,0.000009735339,0.00002652183,0.00001918047,0.00002819016],"domain_scores_gemma":[0.9998972,0.00001979165,0.00003590561,0.00001270374,0.000008150542,0.00002627013],"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":[0.00004619587,0.000006716201,0.0001075347,0.00001133775,0.000001591333,0.000006964064,0.000004232762,0.00001081557,0.9996578,0.00001065594,0.000003960231,0.0001323086],"study_design_scores_gemma":[0.00002894909,0.0005085743,0.0244156,0.000007000343,0.00002057551,0.000107155,0.00005752389,0.00150679,0.9722432,0.00006363417,0.001033275,0.000007519604],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976125,0.0005441018,0.0009912974,0.00004776486,0.000009869196,0.00001392246,0.0002753687,0.00005569546,0.0004495759],"genre_scores_gemma":[0.9970942,0.000287167,0.0009975652,0.00005236343,0.000004046005,0.00001871227,0.0004843782,0.00002032232,0.001041283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006588211,"threshold_uncertainty_score":0.001812339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373194447500218,"score_gpt":0.217663604773443,"score_spread":0.2039316602984409,"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."}}