{"id":"W3093355667","doi":"10.1002/anie.202012956","title":"Molecularly Imprinted Polymer‐Based Smart Prodrug Delivery System for Specific Targeting, Prolonged Retention, and Tumor Microenvironment‐Triggered Release","year":2020,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":141,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Nanjing University; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Prodrug; Drug delivery; Tumor microenvironment; Chemistry; Targeted drug delivery; Pharmacology; Cancer research; Medicine; Tumor cells; Organic chemistry","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":[0.0001188232,0.0001848064,0.000151339,0.00004906188,0.00009282148,0.00004844649,0.0001320897,0.0001011871,0.000005552699],"category_scores_gemma":[0.00009370007,0.0001821725,0.0001384348,0.00006649231,0.00008077835,0.00001580341,0.00005883925,0.00008741806,0.000002196507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005485746,"about_ca_system_score_gemma":0.00002693609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006044859,"about_ca_topic_score_gemma":0.000001411502,"domain_scores_codex":[0.998823,0.00002801276,0.0002841727,0.0005102826,0.0001855824,0.0001688779],"domain_scores_gemma":[0.9993418,0.00001158777,0.0002051529,0.0001455207,0.0001960793,0.00009986264],"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":[0.0004071289,0.00004386409,0.0001637353,0.00005523648,0.00007586904,0.00000713002,0.00001179138,0.000001610231,0.99363,0.00001135658,0.005261705,0.0003305845],"study_design_scores_gemma":[0.0007516335,0.0001620295,0.0001077722,0.00004973671,0.00004606313,0.00001176659,0.00006064983,0.0004403031,0.9793931,0.0000116126,0.01876471,0.0002005955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.812758,0.001355912,0.1790493,0.00425916,0.0004591672,0.00100361,0.0006498631,0.0002203601,0.000244715],"genre_scores_gemma":[0.9897791,0.0001093448,0.005412999,0.0008086368,0.0007797604,0.00007251537,0.002923602,0.00002784467,0.00008626078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1770211,"threshold_uncertainty_score":0.7428778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009708879103226126,"score_gpt":0.2201008713407566,"score_spread":0.2103919922375305,"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."}}