{"id":"W2981768909","doi":"10.1016/j.isci.2019.10.032","title":"Plant-Derived Exosomal Nanoparticles Inhibit Pathogenicity of Porphyromonas gingivalis","year":2019,"lang":"en","type":"article","venue":"iScience","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":214,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Center for Complementary and Integrative Health; National Institute of Dental and Craniofacial Research; National Institute on Alcohol Abuse and Alcoholism; National Institute of General Medical Sciences; Royal College of Surgeons of England; National Institutes of Health; M.S.I. Foundation","keywords":"Porphyromonas gingivalis; Exosome; Microvesicles; Chemistry; Microbiology; Phosphatidic acid; Pathogen; Hemin; Periodontitis; Pathogenic bacteria; Bacteria; Biology; Biochemistry; microRNA; Heme; Phospholipid; Medicine; Enzyme","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009051996,0.0002617001,0.0001778321,0.00009444136,0.00007535893,0.0001668372,0.00008071171,0.0002240472,0.000736848],"category_scores_gemma":[0.00007134182,0.00006342141,0.0001386845,0.00004313494,0.0001180075,0.0001966132,0.0001837939,0.0003406621,0.0001295074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001126629,"about_ca_system_score_gemma":0.00009474598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001589175,"about_ca_topic_score_gemma":0.0003066056,"domain_scores_codex":[0.9999428,0.00001186194,0.000004460735,0.00001257735,0.00001440342,0.00001389303],"domain_scores_gemma":[0.9999573,0.00001101865,0.00001226325,0.000005028318,0.00000544493,0.000008880847],"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":[0.00005966254,0.00001760128,0.00003635832,0.00003050692,0.000002192897,0.00001357311,0.000007175516,0.00002453843,0.9988415,0.00003041194,0.00001518826,0.0009214451],"study_design_scores_gemma":[0.000007104677,0.0002770003,0.001015623,0.000005525319,0.00000845503,0.00005486601,0.00001558575,0.0004724282,0.9964939,0.00002744938,0.001619922,0.000002138658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932402,0.001639913,0.003755955,0.00009301468,0.00003688144,0.00002858573,0.0001403265,0.00007080666,0.0009943034],"genre_scores_gemma":[0.993682,0.0007972299,0.002677694,0.0000418231,0.000007364348,0.00002654253,0.000172771,0.00001600218,0.002578694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000736848,"threshold_uncertainty_score":0.002465069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009014176009265703,"score_gpt":0.2246922330314162,"score_spread":0.2156780570221505,"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."}}