{"id":"W2475094163","doi":"10.1016/j.carbpol.2016.06.113","title":"Conjugation of chitosan nanoparticles with biogenic and synthetic polyamines: A delivery tool for antitumor polyamine analogues","year":2016,"lang":"en","type":"article","venue":"Carbohydrate Polymers","topic":"Polyamine Metabolism and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polyamine; Chitosan; Spermine; Conjugate; Spermidine; Chemistry; Nanoparticle; Aqueous solution; Combinatorial chemistry; Nuclear chemistry; Organic chemistry; Biochemistry; Nanotechnology; Materials science; Enzyme","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":[0.00005183318,0.0001639184,0.0001896499,0.00007979631,0.00006647183,0.00001200961,0.000112387,0.00006371053,0.000003646129],"category_scores_gemma":[0.00004344848,0.0001114243,0.00006148549,0.0001335128,0.0003025935,0.00001064975,0.00004074998,0.000017443,8.891894e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002731579,"about_ca_system_score_gemma":0.00005943837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004131317,"about_ca_topic_score_gemma":0.00001562006,"domain_scores_codex":[0.9991164,0.00002701343,0.0002221481,0.0003170672,0.00007946909,0.0002379323],"domain_scores_gemma":[0.9994263,0.00003638335,0.0001238935,0.0002973029,0.0000375325,0.00007861184],"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":[0.0001160171,0.00003682309,0.002555757,0.00001909693,0.00006240274,4.465214e-7,0.00002163991,9.276142e-7,0.9900236,0.0004142801,0.00001234058,0.00673663],"study_design_scores_gemma":[0.0008969498,0.000247622,0.005215388,0.0000305873,0.00009266196,0.000009220496,0.00005667088,0.0000287017,0.9928535,0.00002813214,0.0003512656,0.0001892964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952852,0.0025072,0.001208526,0.0002949533,0.00004910579,0.0002998037,0.0002806553,0.00001490012,0.00005972319],"genre_scores_gemma":[0.9988484,0.0003338605,0.0003713329,0.00007778493,0.00009589611,0.00009182429,0.00007361628,0.0000250204,0.00008223785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006547334,"threshold_uncertainty_score":0.4543753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006839857618484264,"score_gpt":0.215430630281867,"score_spread":0.2085907726633828,"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."}}