{"id":"W2901316816","doi":"10.1021/acsanm.8b01559","title":"Versatile Ligand-Exchange Method for the Synthesis of Water-Soluble Monodisperse AuAg Nanoclusters for Cancer Therapy","year":2018,"lang":"en","type":"article","venue":"ACS Applied Nano Materials","topic":"Nanocluster Synthesis and Applications","field":"Materials Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Argonne National Laboratory; Natural Sciences and Engineering Research Council of Canada; Anhui Provincial Department of Education; National Natural Science Foundation of China; Office of Science; Ministry of Education of the People's Republic of China; Canadian Light Source; U.S. Department of Energy","keywords":"Nanoclusters; Ligand (biochemistry); Chemistry; Dispersity; Electrospray ionization; Metal; Nuclear chemistry; Inorganic chemistry; Polymer chemistry; Mass spectrometry; Organic chemistry; Chromatography","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":[0.00165905,0.0003176065,0.0006136569,0.00007939058,0.0005426211,0.0001678717,0.0007871081,0.0001611166,0.0008942347],"category_scores_gemma":[0.00004916387,0.0001896645,0.0001243715,0.0001267061,0.0002347215,0.0001185315,0.0001567265,0.00002672685,0.00008130814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005680408,"about_ca_system_score_gemma":0.00006736341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003991507,"about_ca_topic_score_gemma":0.00006218346,"domain_scores_codex":[0.9978954,0.00007556901,0.0006247274,0.0005675239,0.0002310252,0.0006057955],"domain_scores_gemma":[0.9977167,0.0009025522,0.000339614,0.0007636706,0.0002065711,0.00007088645],"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":[0.0006045743,0.00007030299,0.000001027663,0.0001173698,0.00006359455,5.515181e-8,0.00113698,0.000009999058,0.9831118,0.001604692,0.004366568,0.008913036],"study_design_scores_gemma":[0.000759758,0.00008998935,0.000008830897,0.00003193335,0.0001186334,8.499003e-7,0.000260228,0.00004161593,0.923436,0.0005286953,0.07446698,0.0002564931],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654193,0.0003272712,0.02134627,0.002178542,0.002312198,0.00600353,0.001687446,0.0001636482,0.0005618187],"genre_scores_gemma":[0.972778,0.0002309437,0.01434217,0.0004885851,0.0008143983,0.01062936,0.00002506176,0.00009049695,0.0006009673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07010041,"threshold_uncertainty_score":0.9791244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03113676027592667,"score_gpt":0.2995666552385984,"score_spread":0.2684298949626717,"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."}}