{"id":"W3043532574","doi":"10.1177/0003702820940391","title":"High-Speed Fluctuations in Surface-Enhanced Raman Scattering Intensities from Various Nanostructures","year":2020,"lang":"en","type":"article","venue":"Applied Spectroscopy","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Microsecond; Raman scattering; Scattering; Materials science; Nanoshell; Nanostructure; SPHERES; Intensity (physics); Chemical physics; Particle (ecology); Molecular physics; Nanotechnology; Raman spectroscopy; Nanoparticle; Optics; Chemistry; Physics","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":[0.00008009725,0.0001942977,0.0003145139,0.0000314419,0.0001612893,0.0001585351,0.0002865807,0.00006500066,0.000824336],"category_scores_gemma":[0.00002158911,0.0001817574,0.00004371105,0.0002267938,0.0001056861,0.00009389088,0.00008728,0.0001315787,0.0004361466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005006152,"about_ca_system_score_gemma":0.00003702071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004739444,"about_ca_topic_score_gemma":0.00009286644,"domain_scores_codex":[0.9986076,0.00002810036,0.0003493553,0.0004724834,0.0001917606,0.0003506613],"domain_scores_gemma":[0.9993934,0.00008956973,0.00009190077,0.0002808986,0.00002647526,0.00011773],"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":[0.0000482147,0.00002790462,0.0000935534,0.000004809552,0.000005792484,0.000001710353,0.001317969,0.0009079751,0.9901217,0.007085765,0.0002832118,0.0001013707],"study_design_scores_gemma":[0.0003961132,0.00002402032,0.004447983,0.00001092866,0.00001443456,3.300934e-7,0.0005015403,0.0002881822,0.9887842,0.005213575,0.0001132074,0.0002055104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952349,0.00004283712,0.001337422,0.001999838,0.0001142934,0.000275398,0.00005400431,0.0001639861,0.0007772921],"genre_scores_gemma":[0.9888839,0.00001420138,0.00983728,0.001016803,0.0001589941,0.00002528638,0.00002675708,0.00002383556,0.00001298668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008499858,"threshold_uncertainty_score":0.9025902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105607802846782,"score_gpt":0.2229306076642121,"score_spread":0.2118745296357443,"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."}}