{"id":"W2885433378","doi":"10.11159/icbes18.144","title":"Cluster Source Deposition Based Hierarchical Nanoporous Ag Film Deposited Substrate for Surface Enhanced Raman Scattering","year":2018,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institute for Information and Communications Technology Promotion; Iran Telecommunication Research Center; National Research Foundation of Korea; Ministry of Science, ICT and Future Planning; National Research Foundation","keywords":"Raman scattering; Nanoporous; Deposition (geology); Substrate (aquarium); Materials science; Cluster (spacecraft); Scattering; Raman spectroscopy; Chemical engineering; Optoelectronics; Nanotechnology; Computer science; Optics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006965742,0.0002470889,0.0002516298,0.0002398512,0.0002560601,0.0002763583,0.0005055353,0.0003458032,0.001746782],"category_scores_gemma":[0.0001083199,0.000233531,0.0001988954,0.0001702265,0.0001256301,0.0002509177,0.0002974629,0.0003435751,0.0007513461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004502986,"about_ca_system_score_gemma":0.0002216468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001118972,"about_ca_topic_score_gemma":0.003510547,"domain_scores_codex":[0.9998808,0.000005088278,0.00000420498,0.00003882114,0.0000512502,0.00001980131],"domain_scores_gemma":[0.9999292,0.0000118078,0.00001189112,0.00001295914,0.00002475904,0.000009312796],"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":[0.00001762746,0.00000819294,0.00005681829,0.0000354432,0.000003366149,0.00004014155,0.00001309268,0.0001553575,0.9981846,0.0001408771,0.0002158796,0.001128533],"study_design_scores_gemma":[0.000007493303,0.00005899912,0.0006503795,0.000002253634,0.000006031423,0.00004918601,0.00001519477,0.005345184,0.9924465,0.00004259276,0.001369257,0.000006962321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9617007,0.0008985144,0.02050209,0.0002695431,0.0002029166,0.00008003211,0.0005603457,0.001444896,0.01434098],"genre_scores_gemma":[0.9796482,0.0002780739,0.01509084,0.00004128846,0.00002185027,0.00003705647,0.0002222871,0.00007643474,0.004584117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001746782,"threshold_uncertainty_score":0.00584352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006639936023949702,"score_gpt":0.2048143028530774,"score_spread":0.1981743668291277,"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."}}