{"id":"W4211151959","doi":"10.32920/ryerson.14655741.v1","title":"Nuclear targeting of gold nanoparticles","year":2021,"lang":"en","type":"preprint","venue":"","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Colloidal gold; Peptide; Cytoplasm; Cancer cell; Nanotechnology; Drug delivery; Chemistry; Nucleus; Conjugated system; Cancer research; Cancer treatment; Cancer therapy; Nanoparticle; Biophysics; Cancer; Materials science; Cell biology; Biochemistry; Biology; Medicine; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001468983,0.0002594292,0.0001986684,0.0001193796,0.0001797436,0.0003825021,0.0001739466,0.0003055737,0.001102939],"category_scores_gemma":[0.0001707168,0.000107294,0.0001680373,0.00008509718,0.0003110846,0.0001952686,0.0002759781,0.0003332432,0.0005006075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005307305,"about_ca_system_score_gemma":0.0002293835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001167994,"about_ca_topic_score_gemma":0.0009566917,"domain_scores_codex":[0.9998897,0.00001863307,0.000003650408,0.00003733116,0.00002691266,0.00002367138],"domain_scores_gemma":[0.9999496,0.00001379915,0.000008700625,0.000007417805,0.00001267426,0.000007823549],"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":[0.00004250297,0.000005256899,0.00006211518,0.00007582381,0.00000394394,0.00006226019,0.00004783995,0.0003656872,0.9941716,0.001195026,0.0001516633,0.003816408],"study_design_scores_gemma":[0.00000572334,0.00006028819,0.0001624444,0.000007059082,0.000004638307,0.0001169534,0.00001613304,0.001345222,0.992395,0.0001730353,0.005710152,0.000003401331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8646683,0.01110975,0.0877313,0.0007456049,0.000234483,0.00008110551,0.0001906166,0.0007945049,0.03444438],"genre_scores_gemma":[0.9772091,0.002043957,0.01005847,0.0001809705,0.00001541049,0.00003070763,0.000122572,0.0000584699,0.01028033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001167994,"threshold_uncertainty_score":0.003850758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01254847991195885,"score_gpt":0.2398811824307544,"score_spread":0.2273327025187956,"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."}}