{"id":"W2317650680","doi":"10.1177/0885328216642665","title":"Intracellular plasmid DNA delivery by self-assembled nanoparticles of amphiphilic PHML- <i>b</i> -PLLA- <i>b</i> -PHML copolymers and the endocytosis pathway analysis","year":2016,"lang":"en","type":"article","venue":"Journal of Biomaterials Applications","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Chinese Academy of Sciences; Donghua University; National Natural Science Foundation of China","keywords":"Endocytosis; Amphiphile; Intracellular; Copolymer; Nanoparticle; Plasmid; Materials science; DNA; Intracellular transport; Biophysics; Nanotechnology; Chemistry; Biochemistry; Biology; Cell; Polymer","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004830251,0.0001682017,0.0004066057,0.0001032598,0.00009920802,0.00004467172,0.0003293328,0.0001096937,0.00002790639],"category_scores_gemma":[0.00002665022,0.00009777797,0.0002283719,0.0002238535,0.0001649814,0.00001722354,0.00008689536,0.00002425517,0.000005428791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000160572,"about_ca_system_score_gemma":0.00007546358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002376835,"about_ca_topic_score_gemma":0.000007877647,"domain_scores_codex":[0.998538,0.0001555719,0.0007130478,0.0002211002,0.0001801229,0.0001921311],"domain_scores_gemma":[0.9985625,0.00007763576,0.0006815464,0.0003506341,0.0002263134,0.000101397],"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":[0.0003012346,0.0001063299,0.0005067982,0.00001367567,0.0008279757,8.96699e-7,0.00004290002,0.000001953777,0.9957001,0.00009537194,0.001086609,0.001316162],"study_design_scores_gemma":[0.001348249,0.0001751419,0.0001481657,0.00001757246,0.0004998937,0.00002887393,0.00007004174,0.000005668128,0.9912387,0.000108243,0.006233666,0.0001258315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940454,0.00284145,0.001656411,0.001013807,0.00006658721,0.0002159028,0.0001269005,0.000007404272,0.0000261209],"genre_scores_gemma":[0.9960687,0.003333348,0.0002222089,0.0001480664,0.0001239932,0.00005143832,0.00001494238,0.00001403876,0.00002330205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005147058,"threshold_uncertainty_score":0.398727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003661116287930838,"score_gpt":0.2005154520155053,"score_spread":0.1968543357275744,"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."}}