{"id":"W2534587422","doi":"10.1016/j.molp.2016.10.006","title":"Identification of Methylosome Components as Negative Regulators of Plant Immunity Using Chemical Genetics","year":2016,"lang":"en","type":"article","venue":"Molecular Plant","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; China Scholarship Council","keywords":"Biology; Genetics; Genetic screen; Small nuclear ribonucleoprotein; Arabidopsis thaliana; Mutant; Arabidopsis; RNA splicing; Cell biology; Gene","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":[0.0003623041,0.0004211437,0.0002167597,0.000366815,0.0001966612,0.0004496522,0.0003544298,0.0003928542,0.001035124],"category_scores_gemma":[0.0002235843,0.0002764195,0.0002724903,0.0001300875,0.0004358401,0.0004398677,0.0003764774,0.000709336,0.0002586234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000608616,"about_ca_system_score_gemma":0.0002077777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005669003,"about_ca_topic_score_gemma":0.001197032,"domain_scores_codex":[0.9998701,0.00001915717,0.000008673125,0.00003409798,0.00004600057,0.00002193352],"domain_scores_gemma":[0.9998025,0.00005973612,0.00005046777,0.00002827224,0.00002514384,0.00003397383],"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":[0.00004899416,0.000003985798,0.0001220326,0.000008236765,0.000002086373,0.00001074465,0.000003391832,0.00002677318,0.9990875,0.0001983486,0.000009943217,0.0004779178],"study_design_scores_gemma":[0.000006069366,0.00002598293,0.00127061,0.000001416503,0.000008003706,0.00005893242,0.00000761431,0.0006913985,0.9971539,0.00008672803,0.0006871557,0.000002217514],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650671,0.003013737,0.02778111,0.0005458786,0.0000754366,0.00008488872,0.0004886955,0.000218667,0.002724403],"genre_scores_gemma":[0.9863338,0.0007234303,0.01002545,0.0001151563,0.00001280282,0.00003384571,0.0004066175,0.00005586657,0.002293037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001035124,"threshold_uncertainty_score":0.00441587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01231171833481853,"score_gpt":0.248050853828357,"score_spread":0.2357391354935384,"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."}}