{"id":"W1988352004","doi":"10.2147/ijn.s35567","title":"Low molecular weight chitosan conjugated with folate for siRNA delivery in vitro: optimization studies","year":2012,"lang":"en","type":"article","venue":"International Journal of Nanomedicine","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"Canadian Institutes of Health Research; National Natural Science Foundation of China","keywords":"Chitosan; Small interfering RNA; Transfection; In vitro; Gene silencing; Folate receptor; Gene delivery; Conjugated system; Chemistry; RNA interference; Biophysics; Molecular biology; RNA; Biochemistry; Polymer; Biology; Gene; Cancer cell; Cancer; Organic chemistry","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":[0.0006106989,0.0006173898,0.0005127877,0.0003845717,0.0002992738,0.0003051676,0.0003155978,0.0004086937,0.0007225447],"category_scores_gemma":[0.0005171127,0.0002320519,0.0004623424,0.0007012068,0.0001766632,0.0001943704,0.0001261764,0.000308267,0.0003426851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007652879,"about_ca_system_score_gemma":0.000388882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006923416,"about_ca_topic_score_gemma":0.009021051,"domain_scores_codex":[0.9996167,0.00009468295,0.00006191945,0.00005044069,0.0001305568,0.00004557162],"domain_scores_gemma":[0.9996725,0.00009991282,0.00007725827,0.00001971835,0.0001065926,0.00002413041],"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":[0.00005520071,0.00003296996,0.00007236253,0.00008909957,0.000008450098,0.00002206061,0.0000216274,0.000450384,0.9979966,0.00002090654,0.00002936752,0.001200946],"study_design_scores_gemma":[0.000006310593,0.0002377106,0.0006397327,0.000003925275,0.00003517541,0.00002652939,0.000009004575,0.0007010922,0.9972839,0.000008478091,0.001038519,0.000009575408],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780055,0.007047476,0.01117107,0.0001375284,0.00004578253,0.0002559613,0.0006819993,0.0001035995,0.002551064],"genre_scores_gemma":[0.9707226,0.007204152,0.01628332,0.00006048727,0.00002504049,0.000242423,0.001198786,0.00006548634,0.004197678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006923416,"threshold_uncertainty_score":0.01376623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068975053499645,"score_gpt":0.2765607769660317,"score_spread":0.2658710264310353,"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."}}