{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001482034,0.0001547241,0.0002312204,0.00002134558,0.0001570691,0.0001721644,0.000187116,0.00006248452,0.0002540519],"category_scores_gemma":[0.00007810035,0.0001281005,0.00004692475,0.00009688917,0.00008412826,0.0000840576,0.00004298785,0.00002018338,0.0001829035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001007516,"about_ca_system_score_gemma":0.00002215469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005657642,"about_ca_topic_score_gemma":0.00000115792,"domain_scores_codex":[0.9988816,0.00004162622,0.0002993259,0.0003928593,0.0001170184,0.0002675804],"domain_scores_gemma":[0.9993799,0.0001236914,0.0000913332,0.000192763,0.00003774681,0.0001746202],"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":[0.00005420552,0.00003122823,0.00008108038,0.00004537943,0.000002767591,3.840056e-7,0.0001275146,0.00000178861,0.9826257,0.01303115,0.000916945,0.00308186],"study_design_scores_gemma":[0.0003873612,0.0001663069,0.0005702238,0.000008215484,0.00002868458,0.000001982871,0.00004424795,0.00004612792,0.9657388,0.002649464,0.03019417,0.0001644382],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965154,0.0001615351,0.0001577661,0.001688179,0.0001358829,0.0008228633,0.0001549073,0.0001300981,0.0002333773],"genre_scores_gemma":[0.9955595,0.00005791564,0.002596411,0.0009533659,0.0002225137,0.0005338017,0.00001068409,0.00002122202,0.00004465703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02927722,"threshold_uncertainty_score":0.5223787,"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."}}