{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003083744,0.0001269047,0.0002381919,0.0002420463,0.00001480631,0.00001184541,0.0003865812,0.00008210707,0.0001099971],"category_scores_gemma":[0.0001669051,0.0001078489,0.00008254129,0.000124747,0.0001401673,0.00002215896,0.00005051504,0.0001329028,0.000005594844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003207055,"about_ca_system_score_gemma":0.00009979664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009391478,"about_ca_topic_score_gemma":0.0001358647,"domain_scores_codex":[0.9986089,0.00005817555,0.0006741099,0.0001626558,0.0003119849,0.0001841752],"domain_scores_gemma":[0.9991904,0.00005673947,0.0002939167,0.0001232034,0.0002719313,0.00006374656],"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":[0.0005144399,0.000194634,0.006186561,0.000005787685,0.00008851068,0.00002916981,0.0003350252,0.00001829058,0.9871591,0.00001671388,0.0008842425,0.004567517],"study_design_scores_gemma":[0.00285169,0.001468514,0.007497424,0.0003409174,0.00001767287,0.0001519364,0.0002056243,0.00003383377,0.9833243,0.0002081673,0.003778554,0.00012129],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953412,0.002610588,0.0002133109,0.0007733525,0.0007563128,0.000065267,0.00001009221,0.000001624037,0.000228186],"genre_scores_gemma":[0.9979053,0.0005582292,0.0001194146,0.0006463633,0.0006296794,0.000001691955,0.000006866531,0.00001181168,0.0001206493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004446226,"threshold_uncertainty_score":0.439795,"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."}}