{"id":"W2761733227","doi":"10.1039/c7nr04979j","title":"Biocompatible silver, gold and silver/gold alloy nanoparticles for enhanced cancer therapy: in vitro and in vivo perspectives","year":2017,"lang":"en","type":"article","venue":"Nanoscale","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"Science and Engineering Research Board","keywords":"Biocompatible material; Colloidal gold; In vivo; Nanotechnology; Materials science; Gold alloys; Alloy; Cancer therapy; In vitro; Nanoparticle; Gold alloy; Cancer; Biomedical engineering; Metallurgy; Medicine; Chemistry; Internal medicine; Biochemistry; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004023653,0.0002210546,0.000362798,0.0001159777,0.0001697337,0.0002234459,0.0002930862,0.0001011794,0.00005528256],"category_scores_gemma":[0.00008602252,0.0002029619,0.00004239984,0.0001093442,0.0003349473,0.0005600206,0.0001307394,0.00008938093,0.000007908889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001035736,"about_ca_system_score_gemma":0.00007415065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001888733,"about_ca_topic_score_gemma":0.00215074,"domain_scores_codex":[0.998318,0.00006544519,0.0003006598,0.0006083982,0.0001964206,0.0005111106],"domain_scores_gemma":[0.9990736,0.0001555369,0.0001529662,0.0004270237,0.00007225293,0.0001185846],"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":[0.001069189,0.0002072329,0.00499817,0.00003173743,0.000005961219,0.000004973175,0.001535057,0.00003035693,0.9900465,0.00009915456,0.0001386919,0.001832971],"study_design_scores_gemma":[0.004028944,0.0001406575,0.008429496,0.00007550869,0.000008926722,0.000001125247,0.0006234113,0.0005527356,0.9854843,0.0001807633,0.0002112693,0.0002628386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956905,0.002478176,0.000005826079,0.0006170812,0.0002142451,0.0007461263,0.00007475787,0.00004536079,0.0001279326],"genre_scores_gemma":[0.998087,0.0005497323,0.0004821153,0.0001168741,0.00006461736,0.0002872045,8.787148e-7,0.00002724089,0.0003843155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00456218,"threshold_uncertainty_score":0.8276547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0189482555652675,"score_gpt":0.2766674661396106,"score_spread":0.2577192105743431,"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."}}