{"id":"W2511551387","doi":"10.1021/acs.jpcc.5b02728","title":"Seeded Growth Synthesis of Composition and Size-Controlled Gold–Silver Alloy Nanoparticles","year":2015,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Alloy; Materials science; Dispersity; Nanoparticle; Colloidal gold; Chemical engineering; Composition (language); Nanotechnology; Homogeneous; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001372745,0.0004301469,0.0003106526,0.0002506356,0.0001521624,0.0003193162,0.0005619319,0.0004681642,0.0003829388],"category_scores_gemma":[0.0002888765,0.0003363231,0.0002656532,0.000152583,0.0002123303,0.0002839727,0.0003116436,0.0004218539,0.0003199793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005554691,"about_ca_system_score_gemma":0.0002529047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009524676,"about_ca_topic_score_gemma":0.002972847,"domain_scores_codex":[0.9998103,0.00001412458,0.00001496538,0.0000574697,0.00008733823,0.00001574598],"domain_scores_gemma":[0.9998449,0.00003445581,0.00003873587,0.00002294952,0.00003971506,0.00001922144],"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":[0.000007683381,0.000006133354,0.00002988809,0.00002021741,0.000002345014,0.00003080971,0.0000111222,0.0002511824,0.9982157,0.0001369444,0.00002681983,0.001261078],"study_design_scores_gemma":[0.000005962668,0.00003678309,0.0001995249,0.000001707664,0.000004457875,0.00003734474,0.000003633932,0.005300504,0.9933908,0.00005137934,0.0009627845,0.000005094516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8411646,0.002259325,0.1492011,0.0001644023,0.0002292566,0.0001566944,0.000345446,0.0008683919,0.005610911],"genre_scores_gemma":[0.9018371,0.0007011169,0.09310075,0.00006049544,0.0000268494,0.0001244106,0.0002058239,0.00009939657,0.00384398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009524676,"threshold_uncertainty_score":0.004030228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211944258263594,"score_gpt":0.2282913330835506,"score_spread":0.2161718905009146,"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."}}