{"id":"W3094776014","doi":"10.3390/nano10112136","title":"Nanostructured and Spiky Gold Shell Growth on Magnetic Particles for SERS Applications","year":2020,"lang":"en","type":"article","venue":"Nanomaterials","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Biomolecule; Raman scattering; Materials science; Nanotechnology; Colloidal gold; Raman spectroscopy; Particle (ecology); Nanoparticle; Surface modification; Plasmon; Bromide; Aqueous solution; Shell (structure); Chemical engineering; Chemistry; Inorganic chemistry; Optics; Composite material; Optoelectronics; Organic chemistry","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":[0.0001712631,0.0003497247,0.0002283233,0.0001732607,0.000131232,0.0002396978,0.0002130833,0.0004586348,0.0005559839],"category_scores_gemma":[0.0003178926,0.0002750527,0.0002586093,0.0001237963,0.0002394945,0.0002179578,0.0002931204,0.0004090314,0.0003947425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002171441,"about_ca_system_score_gemma":0.0001220514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002904288,"about_ca_topic_score_gemma":0.001148371,"domain_scores_codex":[0.9998565,0.00001623669,0.0000111524,0.00003588231,0.00005859411,0.00002155851],"domain_scores_gemma":[0.9998592,0.00003794226,0.00003647111,0.00002087036,0.00002745506,0.0000180411],"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":[0.00001031774,0.000006495609,0.0000538325,0.00003471487,0.000002449612,0.0000266225,0.00001271952,0.0002249999,0.9983749,0.00008586852,0.00003659606,0.001130349],"study_design_scores_gemma":[0.000009845184,0.0001068568,0.0008795029,0.00000463793,0.000005006971,0.00007950039,0.00001297442,0.00439419,0.9933467,0.00007659321,0.001078392,0.000005842287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604337,0.001390291,0.03351406,0.0002014685,0.00008129503,0.0001010965,0.0001145831,0.0002890751,0.003874386],"genre_scores_gemma":[0.9692693,0.0005366462,0.02792594,0.0000926746,0.00001876371,0.0000424837,0.0001135123,0.00005305071,0.001947786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005559839,"threshold_uncertainty_score":0.001859963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01931298654822448,"score_gpt":0.2261843131485742,"score_spread":0.2068713266003497,"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."}}