{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002560472,0.0003586518,0.0002085808,0.0002494641,0.00009734525,0.0002117721,0.0001467293,0.0003501008,0.0006499329],"category_scores_gemma":[0.00009137908,0.0001243601,0.0001868641,0.0001323135,0.000146832,0.0001552384,0.00009611946,0.0002393379,0.0001918353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002483747,"about_ca_system_score_gemma":0.0001755299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004862355,"about_ca_topic_score_gemma":0.001393457,"domain_scores_codex":[0.9999171,0.00002599489,0.000005112521,0.00001335838,0.00002512601,0.00001321233],"domain_scores_gemma":[0.999962,0.00001121736,0.000008157859,0.000004037705,0.000009321108,0.000005357519],"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":[0.00008178219,0.00004287556,0.00009309576,0.00007143791,0.00000563856,0.00004280774,0.00001169943,0.0001914766,0.9951865,0.0001402336,0.0000597504,0.004072747],"study_design_scores_gemma":[0.000009223996,0.0003826718,0.0006239099,0.000004261008,0.00001974625,0.0001546495,0.000008738444,0.001065761,0.9954425,0.00005981737,0.002225499,0.000003220604],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9449622,0.02682867,0.01988282,0.0004657531,0.0001069523,0.0001136561,0.0002097742,0.0001456648,0.00728451],"genre_scores_gemma":[0.9785966,0.007641823,0.008479095,0.0001293019,0.00002105898,0.00005609518,0.0001461234,0.00001737751,0.004912482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006499329,"threshold_uncertainty_score":0.002174258,"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."}}