{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002012935,0.00012037,0.0001990627,0.0001727791,0.00001775317,0.00001035169,0.0002071617,0.00006083411,0.00000891144],"category_scores_gemma":[0.0001002725,0.00008790085,0.00007372945,0.00006536684,0.00005951913,0.0000253064,0.00003667761,0.00007995193,7.961369e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003061987,"about_ca_system_score_gemma":0.00006389243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003601246,"about_ca_topic_score_gemma":0.000002072952,"domain_scores_codex":[0.9991083,0.00002797013,0.0003615578,0.0001087586,0.0002268771,0.000166531],"domain_scores_gemma":[0.9990701,0.00002454465,0.0002602599,0.00008031318,0.0004946555,0.00007013001],"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":[0.001866693,0.0001378341,0.002106611,0.00001152581,0.000537375,0.00003592564,0.0001358896,0.002077242,0.9903028,0.00001515483,0.0003488089,0.002424154],"study_design_scores_gemma":[0.003292476,0.001158802,0.000711745,0.0002026721,0.00005734165,0.0002119673,0.0002324318,0.0003626814,0.9923191,0.00002573333,0.001282508,0.0001425298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754134,0.004072726,0.01888191,0.0006206812,0.0008075923,0.0001107619,0.00001156717,0.000002398363,0.00007898486],"genre_scores_gemma":[0.9946277,0.001267278,0.002634884,0.0005503498,0.0007882623,0.000007239187,0.00006845592,0.0000142179,0.00004160936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01921432,"threshold_uncertainty_score":0.3584493,"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."}}