{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009824029,0.0002670127,0.000140293,0.0001077146,0.00006298307,0.0001643579,0.0001316761,0.0002336031,0.0003026876],"category_scores_gemma":[0.00009510334,0.0001137016,0.0001479648,0.00005666801,0.0001346342,0.0002737624,0.0001508043,0.0002640978,0.000138599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002703505,"about_ca_system_score_gemma":0.0001857985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003278748,"about_ca_topic_score_gemma":0.0003651391,"domain_scores_codex":[0.9999238,0.000009715211,0.000005546468,0.00002078009,0.00002704103,0.00001301687],"domain_scores_gemma":[0.9999528,0.000009593042,0.00001814652,0.000003064314,0.000008051532,0.00000829789],"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":[0.00001483879,0.00000493362,0.00004474316,0.00001508707,0.000001326539,0.00001071374,0.000004210606,0.00004813906,0.999267,0.00003976284,0.000004038949,0.0005451022],"study_design_scores_gemma":[0.000004763088,0.00005599504,0.0002605098,0.000001301792,0.000003953426,0.00004021879,0.000002914312,0.0007735739,0.9984387,0.00001534341,0.0004008416,0.000001965298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823178,0.001920789,0.01452143,0.00009391378,0.00001812228,0.00003779314,0.00007909254,0.00008214219,0.0009288316],"genre_scores_gemma":[0.989893,0.0006954781,0.007636114,0.00002973757,0.000007561216,0.00003281546,0.00009734554,0.00001685036,0.001591051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003278748,"threshold_uncertainty_score":0.001961529,"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."}}