{"id":"W2142408815","doi":"10.1039/c4py00538d","title":"Galactosylated reduction and pH dual-responsive triblock terpolymer Gal-PEEP-a-PCL-ss-PDMAEMA: a multifunctional carrier for the targeted and simultaneous delivery of doxorubicin and DNA","year":2014,"lang":"en","type":"article","venue":"Polymer Chemistry","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Postdoctoral Science Foundation of Jiangsu Province; University of Waterloo; China Postdoctoral Science Foundation; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Copolymer; Doxorubicin; Chemistry; Reduction (mathematics); Dual (grammatical number); Materials science; Medicine; Chemotherapy; Surgery; Polymer; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001628872,0.0003235346,0.0001665583,0.0001481964,0.00007155338,0.0001842768,0.0002165467,0.0003189301,0.0006682274],"category_scores_gemma":[0.000147201,0.0001409204,0.0001294346,0.0001156363,0.0002052156,0.0003625322,0.0002162946,0.0003700252,0.000343604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002062248,"about_ca_system_score_gemma":0.0001645456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003044083,"about_ca_topic_score_gemma":0.000371461,"domain_scores_codex":[0.9999111,0.00001354044,0.000009414166,0.00002253397,0.000024487,0.00001899604],"domain_scores_gemma":[0.9999303,0.00001161025,0.00002616391,0.000005371535,0.000009755559,0.00001689179],"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":[0.00002163209,0.000005813203,0.00001491657,0.00001887722,0.000001212767,0.00001761657,0.000006858524,0.0000574158,0.9989374,0.00005600138,0.00001052082,0.0008516642],"study_design_scores_gemma":[0.000003443419,0.00004164426,0.0001406673,0.000001139588,0.000002714032,0.00005184481,0.000001974916,0.0003364225,0.9988111,0.000009030852,0.0005974849,0.000002442069],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679692,0.00260137,0.02727886,0.0001580785,0.0000415178,0.00006081138,0.0001337851,0.0002634326,0.001492966],"genre_scores_gemma":[0.9869017,0.000815661,0.008535027,0.00004573143,0.00001141029,0.00004057233,0.0001289297,0.00002515652,0.003495956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006682274,"threshold_uncertainty_score":0.002235472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006417068882613668,"score_gpt":0.211446910413088,"score_spread":0.2050298415304743,"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."}}