{"id":"W2126216994","doi":"10.1002/smll.201501056","title":"Cancer‐Cell‐Specific Nuclear‐Targeted Drug Delivery by Dual‐Ligand‐Modified Mesoporous Silica Nanoparticles","year":2015,"lang":"en","type":"article","venue":"Small","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Mesoporous silica; Nanoparticle; Ligand (biochemistry); Nanotechnology; Drug delivery; Materials science; Targeted drug delivery; Dual (grammatical number); Mesoporous material; Drug; Combinatorial chemistry; Chemistry; Organic chemistry; Pharmacology; Biochemistry; Medicine; Receptor","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":[0.00008544372,0.0002224643,0.0001783422,0.0001652062,0.00007407532,0.0001686819,0.0001789961,0.000255138,0.0004643936],"category_scores_gemma":[0.00006959699,0.0001444984,0.0002046454,0.00007937953,0.0001762462,0.0001736213,0.0001441896,0.0002037978,0.0002853838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003657113,"about_ca_system_score_gemma":0.0001788584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005970226,"about_ca_topic_score_gemma":0.001144689,"domain_scores_codex":[0.999951,0.000004851222,0.000003586238,0.00001386456,0.00001470268,0.00001204662],"domain_scores_gemma":[0.9999653,0.000005671799,0.0000119271,0.000003787681,0.000004927012,0.000008407098],"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":[0.00001754338,0.000004705531,0.00001947599,0.00001168476,0.000001753232,0.00001655927,0.000003011296,0.00005767309,0.9990253,0.00005346142,0.00002502937,0.0007637613],"study_design_scores_gemma":[0.00001002017,0.00006936736,0.0003540572,0.000001524055,0.000007415312,0.00006896151,0.000003216802,0.00112347,0.9969345,0.00002069587,0.00140306,0.000003804138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787445,0.002304991,0.01507468,0.0001562023,0.00006108667,0.00003793666,0.0001681845,0.0003555352,0.003096857],"genre_scores_gemma":[0.990052,0.0006989718,0.006346646,0.00004489234,0.00001337986,0.00002050261,0.0001494142,0.00002043146,0.002653771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005970226,"threshold_uncertainty_score":0.00265336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01969263666030506,"score_gpt":0.2254223159383137,"score_spread":0.2057296792780086,"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."}}