{"id":"W2125847937","doi":"10.1039/c5sc00038f","title":"Regioselective thioacetylation of chitosan end-groups for nanoparticle gene delivery systems","year":2015,"lang":"en","type":"article","venue":"Chemical Science","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Merck Canada Inc. (Canada); Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Montréal; Polytechnique Montréal","keywords":"Chitosan; Oxime; Regioselectivity; Combinatorial chemistry; Gene delivery; Chemistry; Aqueous solution; Nanoparticle; Polymer; Click chemistry; Nanotechnology; Organic chemistry; Materials science; Gene; Biochemistry; Genetic enhancement; Catalysis","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":[0.0002039259,0.00007705358,0.00009765299,0.00002568494,0.00004552035,0.00002101902,0.0002692273,0.00006543578,9.517738e-7],"category_scores_gemma":[0.0002057168,0.00006767519,0.00004288542,0.0001793701,0.0002642827,0.00001301183,0.00008365729,0.00003187393,0.000002091384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001662905,"about_ca_system_score_gemma":0.0001729647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001822834,"about_ca_topic_score_gemma":0.000001400346,"domain_scores_codex":[0.9991438,0.00001247347,0.000152857,0.0002899394,0.0001852606,0.0002156952],"domain_scores_gemma":[0.9994222,0.00001213041,0.00007283957,0.00019842,0.0001772723,0.0001171249],"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":[0.00007204611,0.00002724937,0.0003529754,0.000006208561,0.000006028708,1.59115e-7,0.00007313411,0.00007728417,0.9985229,0.0001267248,0.0002142137,0.0005210185],"study_design_scores_gemma":[0.0002710876,0.0002287981,0.0002177053,0.000008556153,0.000006538012,0.000006957632,0.0001274331,0.001044938,0.9977862,0.0000774568,0.000132844,0.00009150978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973795,0.0003267295,0.00129936,0.00004192317,0.0001525469,0.0001562257,0.00001067724,0.00000741047,0.0006255721],"genre_scores_gemma":[0.9991885,0.00001378133,0.000539067,0.00004827031,0.0001430561,0.00002168226,0.00001412532,0.000005400322,0.00002609036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001808973,"threshold_uncertainty_score":0.2759714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02507961420872578,"score_gpt":0.2635934438702427,"score_spread":0.2385138296615169,"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."}}