{"id":"W2889856930","doi":"10.1021/acs.nanolett.8b02263","title":"Programmable Metal/Semiconductor Nanostructures for mRNA-Modulated Molecular Delivery","year":2018,"lang":"en","type":"article","venue":"Nano Letters","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Nanotechnology; Drug delivery; Doxorubicin; Materials science; Drug resistance; Cancer cell; Efflux; Multiple drug resistance; Cancer; Chemistry; Biology; Chemotherapy; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000100144,0.000201728,0.0001082088,0.0001185939,0.0001067566,0.0001955065,0.0002127802,0.0002264283,0.0007235131],"category_scores_gemma":[0.0001046388,0.0001379629,0.0001193451,0.00009039807,0.0001569399,0.0001713188,0.0001564274,0.0002181019,0.0004046155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003537285,"about_ca_system_score_gemma":0.00015395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002907645,"about_ca_topic_score_gemma":0.0004975769,"domain_scores_codex":[0.9999367,0.000007178412,0.000004385001,0.00001819336,0.00002472152,0.000008792247],"domain_scores_gemma":[0.9999689,0.000007109416,0.000008106767,0.000004175259,0.000006973364,0.000004788675],"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":[0.00001742327,0.000008408638,0.00003565567,0.00004131624,0.000002397291,0.00002751594,0.00001194916,0.0002727273,0.9942551,0.0008320433,0.000162287,0.004333156],"study_design_scores_gemma":[0.000009147843,0.0000506685,0.0001416727,0.000002795634,0.000005635844,0.00004901923,0.000005366586,0.004035598,0.9900092,0.0001484716,0.005537951,0.000004472909],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8947271,0.006519462,0.07795708,0.0006389649,0.0003536076,0.0001298069,0.0003140516,0.001409341,0.01795062],"genre_scores_gemma":[0.9441196,0.001555762,0.04953294,0.0001561484,0.00002691556,0.00005894866,0.0001079216,0.00006171477,0.004380068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007235131,"threshold_uncertainty_score":0.002566457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007992621317020806,"score_gpt":0.2579105075670188,"score_spread":0.249917886249998,"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."}}