{"id":"W2804443410","doi":"10.1038/s41598-018-25434-4","title":"Identification and application of exogenous dsRNA confers plant protection against Sclerotinia sclerotiorum and Botrytis cinerea","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Plant and Fungal Interactions Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":246,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Manitoba","funders":"Canola Council of Canada; Western Grains Research Foundation","keywords":"Sclerotinia sclerotiorum; Botrytis cinerea; Biology; RNA silencing; Sclerotinia; Pathogen; RNA interference; Fungus; Fungal pathogen; RNA; Biotechnology; Gene; Microbiology; Botany; Genetics","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":[0.0005955394,0.00008303777,0.00008889755,0.0001147406,0.0002671815,0.0001047437,0.00005744673,0.00007951695,0.000006254738],"category_scores_gemma":[0.0000790448,0.00007877377,0.0000236774,0.0001436539,0.000374602,0.0000151132,0.00006589055,0.00005928706,0.000005433223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009846714,"about_ca_system_score_gemma":0.00004975381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000680253,"about_ca_topic_score_gemma":0.0001490292,"domain_scores_codex":[0.9988841,0.0000281195,0.0002860336,0.0004731508,0.0001776342,0.0001508966],"domain_scores_gemma":[0.9991072,0.000004465512,0.0002046501,0.000353915,0.0002609983,0.00006872381],"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":[0.000031637,0.0000301663,0.003428568,0.00001818874,0.00001469175,0.000002199122,0.00005659266,0.000002589767,0.9832452,0.00001389356,0.001075085,0.0120812],"study_design_scores_gemma":[0.0001219061,0.0001015075,0.01303238,0.00002570737,0.000009530894,0.0002242394,0.00008223968,0.001442166,0.9724602,0.000126711,0.01226618,0.0001072123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995328,0.00009962308,0.003024796,0.00006362375,0.0005760303,0.0004557466,0.00001491609,0.0000115909,0.0004256638],"genre_scores_gemma":[0.9987057,0.00004638732,0.00008728696,0.000008509254,0.00009473845,0.00004566247,0.0002103596,0.000007964154,0.0007933648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01197399,"threshold_uncertainty_score":0.3212301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01702200955092526,"score_gpt":0.2607705331558837,"score_spread":0.2437485236049585,"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."}}