{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002230718,0.000346873,0.0003590701,0.00001950637,0.0002514565,0.00005047271,0.000437513,0.0003371218,0.0002259523],"category_scores_gemma":[0.00007534294,0.0001080029,0.00007089981,0.0001798769,0.0002111486,0.00009673602,0.000145384,0.0002462472,0.0002623931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003782512,"about_ca_system_score_gemma":0.000009702514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006297351,"about_ca_topic_score_gemma":0.0003756849,"domain_scores_codex":[0.9980956,0.0003162116,0.0002280937,0.0006514174,0.0001392658,0.0005694525],"domain_scores_gemma":[0.9990841,0.0004317397,0.0001625769,0.0001162384,0.00004678499,0.0001586312],"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":[0.0003553285,0.00006992861,0.01403369,0.00001763276,0.00001532501,0.000003883409,0.00004403384,4.777654e-7,0.973054,0.000008526379,0.005787596,0.006609565],"study_design_scores_gemma":[0.0004156279,0.002028933,0.02422443,0.0002077516,0.000005838744,0.00004921084,0.000120239,0.00003610264,0.9527124,0.00001395148,0.01974342,0.0004420469],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973124,0.0001403795,0.00001800339,0.00007697129,0.0004112976,0.0007349249,0.0004991647,0.0002376347,0.0005691977],"genre_scores_gemma":[0.9974825,0.00001184285,0.0001580722,0.0002194597,0.0008871107,0.0001149587,0.0009887143,0.000003316812,0.0001339622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02034158,"threshold_uncertainty_score":0.440423,"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."}}