{"id":"W2140808108","doi":"10.1039/c4nr02535k","title":"Peptide modified gold nanoparticles for improved cellular uptake, nuclear transport, and intracellular retention","year":2014,"lang":"en","type":"article","venue":"Nanoscale","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Colloidal gold; Intracellular; Enhancer; Chemistry; Nanoparticle; Nuclear transport; Peptide; Nuclear imaging; Biophysics; Nanotechnology; Materials science; Cell nucleus; Biochemistry; Nuclear medicine; Biology; Medicine","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":[0.0001506764,0.0003772276,0.0002539677,0.0001226284,0.0001188171,0.0001946869,0.0002408269,0.000538997,0.0004391061],"category_scores_gemma":[0.0001677036,0.0001324291,0.0001912206,0.0001139771,0.0001880797,0.0002007646,0.0002115829,0.0003326912,0.000220657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003251502,"about_ca_system_score_gemma":0.0001848683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006580201,"about_ca_topic_score_gemma":0.0009330719,"domain_scores_codex":[0.9998766,0.00001828933,0.000009945863,0.00003119493,0.00004542737,0.00001856977],"domain_scores_gemma":[0.9999408,0.0000129227,0.00001206956,0.000006283052,0.00001704318,0.00001097417],"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":[0.00001250924,0.000005446499,0.00001320118,0.00002427114,0.000001526015,0.00002278515,0.000005102877,0.00008011613,0.9986879,0.00004465296,0.00001696171,0.001085473],"study_design_scores_gemma":[0.000005872208,0.00007350168,0.000209626,0.000001742773,0.000005216692,0.00008793594,0.000002436065,0.0006119495,0.9979181,0.00001916194,0.001061257,0.000003203219],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966755,0.004999696,0.02467676,0.0002627326,0.0001187326,0.0001193036,0.0001344394,0.0002245052,0.002708719],"genre_scores_gemma":[0.9604915,0.001656771,0.03323614,0.0001780424,0.00002026092,0.00005763571,0.0001945187,0.00003865363,0.004126435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006580201,"threshold_uncertainty_score":0.002359092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009675992390792589,"score_gpt":0.2229097908556614,"score_spread":0.2132337984648688,"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."}}