{"id":"W2783947661","doi":"10.2147/ijn.s146942","title":"In vivo therapeutic efficacy of TNFα silencing by folate-PEG-chitosan-DEAE/siRNA nanoparticles in arthritic mice","year":2018,"lang":"en","type":"article","venue":"International Journal of Nanomedicine","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital du Sacré-Cœur de Montréal; Université de Montréal","funders":"Université de Montréal; Canadian Institutes of Health Research; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Science and Technology Commission of Shanghai Municipality","keywords":"Gene silencing; Small interfering RNA; Tumor necrosis factor alpha; Nanocarriers; Gene knockdown; In vivo; PEG ratio; Chemistry; Folate receptor; Viability assay; Arthritis; Pharmacology; Transfection; Molecular biology; Cancer research; Cell; Biochemistry; Medicine; Drug delivery; Immunology; Biology; Cancer cell; Cancer; Apoptosis; Internal medicine","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":[0.0003590945,0.0007553649,0.0005580407,0.0005582466,0.0001968244,0.0003274835,0.0003600995,0.0008089584,0.0009915248],"category_scores_gemma":[0.0001548158,0.0002244252,0.0004616023,0.0002014458,0.0003908389,0.0003210742,0.0001317723,0.0009868155,0.0004457155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00040723,"about_ca_system_score_gemma":0.0003636007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001252215,"about_ca_topic_score_gemma":0.001022451,"domain_scores_codex":[0.9997624,0.0000296957,0.0000227713,0.00006615825,0.00005831973,0.00006080205],"domain_scores_gemma":[0.9997647,0.00003541619,0.00008760595,0.00001946215,0.00003298638,0.00005972885],"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":[0.0006035371,0.0001928316,0.00006394615,0.00005082076,0.00001334904,0.00003279111,0.00002464754,0.0002032053,0.9969944,0.00005653829,0.00006245763,0.001701527],"study_design_scores_gemma":[0.00007099962,0.001639007,0.0005230647,0.000005068583,0.00003343284,0.00005820141,0.00000820739,0.00120624,0.9958377,0.00002312237,0.0005889056,0.000006065276],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861957,0.002827781,0.006881603,0.0002499007,0.0001181414,0.0001448998,0.0006886701,0.0003111679,0.002582185],"genre_scores_gemma":[0.9870626,0.001629794,0.005301854,0.00009895101,0.00003888567,0.0001923168,0.0005946666,0.00006641083,0.005014464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001252215,"threshold_uncertainty_score":0.003316998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352482206073092,"score_gpt":0.2948491428705489,"score_spread":0.281324320809818,"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."}}