{"id":"W1984698021","doi":"10.1021/acs.biomac.5b00221","title":"Tailoring the Surface of a Gene Delivery Vector with Carboxymethylated Dextran: A Systematic Analysis","year":2015,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal; National Research Council Canada","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Nanocarriers; Gene delivery; Chemistry; Coating; Biophysics; Nanotechnology; In vivo; Drug delivery; Materials science; Genetic enhancement; Biochemistry; Gene; Biology; Biotechnology","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":[0.0002800662,0.000349958,0.0001871013,0.0002321532,0.00009760318,0.0002225625,0.0001702631,0.0002590049,0.0003061981],"category_scores_gemma":[0.000308406,0.0001359488,0.0001789716,0.0002218828,0.0002017099,0.0001773184,0.0001493896,0.0002781514,0.0001532619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003469125,"about_ca_system_score_gemma":0.0002271101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007600316,"about_ca_topic_score_gemma":0.001010401,"domain_scores_codex":[0.9998509,0.0000241547,0.00001305589,0.00003033503,0.00005475684,0.00002685078],"domain_scores_gemma":[0.9998778,0.00003157993,0.00002899851,0.00001277482,0.00003086148,0.00001793633],"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":[0.00001176662,0.000006989238,0.000105748,0.00002275059,0.000002142382,0.00001629758,0.000008501364,0.00006016174,0.998472,0.00002891444,0.000006828393,0.001257847],"study_design_scores_gemma":[0.000001506567,0.00007937461,0.0008954242,0.000002059363,0.000006680995,0.00005291641,0.000006366131,0.0003509943,0.9980021,0.000007840772,0.0005924354,0.000002268646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826342,0.001962487,0.01376508,0.00009940757,0.00001246311,0.0001304983,0.0002183337,0.00007745407,0.001100199],"genre_scores_gemma":[0.9775379,0.002663756,0.01740996,0.00006840342,0.000005692432,0.00005592356,0.000435865,0.00003160962,0.001790827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007600316,"threshold_uncertainty_score":0.002517045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792662802596548,"score_gpt":0.2354401029387548,"score_spread":0.2175134749127893,"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."}}