{"id":"W2739875409","doi":"10.1007/s11051-017-3953-0","title":"Effect of the size of silver nanoparticles on SERS signal enhancement","year":2017,"lang":"en","type":"article","venue":"Journal of Nanoparticle Research","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":124,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Surface plasmon resonance; Monolayer; Nanoparticle; Raman scattering; Plasmon; Localized surface plasmon; Silver nanoparticle; Particle (ecology); Surface plasmon; Particle size; Excitation; Wavelength; Resonance (particle physics); Optoelectronics; Raman spectroscopy; Nanotechnology; Analytical Chemistry (journal); Optics; Chemical engineering","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":[0.004990355,0.0001035131,0.0003274452,0.00005541321,0.0004644266,0.00009454982,0.001001416,0.00004259693,0.0003174503],"category_scores_gemma":[0.001149131,0.00005784327,0.0001818351,0.000171144,0.0005900183,0.000201522,0.0001964061,0.0001829309,0.00004243323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004637047,"about_ca_system_score_gemma":0.0001341716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003385036,"about_ca_topic_score_gemma":0.000003994134,"domain_scores_codex":[0.9971392,0.0005810887,0.0006103008,0.0001515733,0.0011461,0.0003717519],"domain_scores_gemma":[0.996919,0.001249225,0.0006223125,0.0006670977,0.0004119425,0.0001303778],"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":[0.000443596,0.0003074995,0.004809666,0.00004155836,0.00001657297,0.000003252786,0.0001590871,0.00006620294,0.9890577,0.0006196909,0.0003121434,0.004163077],"study_design_scores_gemma":[0.0007596716,0.001425609,0.01002985,0.0001687734,0.00002974269,0.00000447602,0.00006972552,0.00007837454,0.9869156,0.0002724548,0.0001893067,0.00005637848],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978908,0.00009917026,0.000001592921,0.001323449,0.0001178564,0.0002254022,0.000004921441,0.000002980289,0.0003338314],"genre_scores_gemma":[0.9996901,0.00002349396,0.00007104213,0.00001393415,0.00006500977,0.00001110952,2.57583e-8,0.000009186305,0.0001161422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00522018,"threshold_uncertainty_score":0.3572041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04651002845484656,"score_gpt":0.3698326131289579,"score_spread":0.3233225846741113,"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."}}