{"id":"W2942860908","doi":"10.1039/c9ra01813a","title":"Intra-nanogap controllable Au plates as efficient, robust, and reproducible surface-enhanced Raman scattering-active platforms","year":2019,"lang":"en","type":"article","venue":"RSC Advances","topic":"Nanoporous metals and alloys","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; Korea Research Institute of Bioscience and Biotechnology; National Research Foundation","keywords":"Nanoporous; Materials science; Alloy; Raman scattering; Raman spectroscopy; X-ray photoelectron spectroscopy; Nanotechnology; Phase (matter); Nanocrystal; Transmission electron microscopy; Chemical engineering; Composite material; Chemistry; Optics; 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":[0.0005403353,0.0002835532,0.000510414,0.00005677927,0.0002368443,0.0001425974,0.0002629214,0.00007864922,0.0007791903],"category_scores_gemma":[0.0001109328,0.0002192452,0.00005697686,0.0001978998,0.0001852184,0.0006790083,0.0001321685,0.0001172103,0.0007311155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007295545,"about_ca_system_score_gemma":0.00008945837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001688822,"about_ca_topic_score_gemma":0.00004450533,"domain_scores_codex":[0.9977888,0.00002872572,0.0003558965,0.0009077259,0.0003039699,0.0006148631],"domain_scores_gemma":[0.9988499,0.0001444822,0.0002581434,0.0005242902,0.00008950879,0.0001336188],"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":[0.0002462742,0.00006403305,0.0008554878,0.00007895225,0.00001626419,0.000005410697,0.0004885898,0.03233633,0.9639159,0.0003336554,0.00003368903,0.001625438],"study_design_scores_gemma":[0.001283419,0.0002804355,0.0004785847,0.00009714488,0.00001826127,0.00001603156,0.0006931516,0.0007051754,0.990882,0.001341469,0.003822897,0.0003814789],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912822,0.001661817,0.000247588,0.0001166906,0.001109749,0.0005547898,0.00002226599,0.0001376257,0.004867227],"genre_scores_gemma":[0.9944865,0.0002358832,0.002086587,0.00009463215,0.0001215079,0.00001813963,0.000008007974,0.00003148023,0.002917314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03163115,"threshold_uncertainty_score":0.9397254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01073636485944898,"score_gpt":0.2426868943740327,"score_spread":0.2319505295145837,"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."}}