{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002231765,0.0001571168,0.0001776892,0.00003274529,0.00009757565,0.00002063904,0.00009208453,0.0001871328,0.000001083637],"category_scores_gemma":[0.00004379709,0.0001423782,0.0001246256,0.0000590826,0.0001001008,0.000006214986,0.00002652919,0.00005914141,9.706716e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007258688,"about_ca_system_score_gemma":0.000008038659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008226982,"about_ca_topic_score_gemma":0.00001892859,"domain_scores_codex":[0.9990339,0.00003138906,0.0002296962,0.0004005808,0.00006823803,0.0002362075],"domain_scores_gemma":[0.9994775,0.000008737747,0.00008509331,0.0002774596,0.00006913707,0.00008206618],"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":[0.0001004634,0.00004013673,0.0000395903,0.00001943534,0.00002326429,4.403083e-7,0.00001227585,0.000003089639,0.9915264,0.0001817628,0.0005181456,0.007534953],"study_design_scores_gemma":[0.0004682895,0.0003437278,0.0001727514,0.00001193134,0.00006520977,0.000003416938,0.00002308744,0.002412961,0.935563,0.000408303,0.06032751,0.0001998263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829723,0.0002061075,0.0160139,0.0001889811,0.0000497383,0.0002388825,0.00002217841,0.00006286026,0.0002450895],"genre_scores_gemma":[0.9871312,0.0001188649,0.01128106,0.0001809706,0.0001384529,0.00001294884,0.0001242774,0.00003023822,0.0009820147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05980937,"threshold_uncertainty_score":0.5806014,"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."}}