{"id":"W1890043847","doi":"10.1002/jrs.3074","title":"Portable smart films for ultrasensitive detection and chemical analysis using SERS and SERRS","year":2012,"lang":"en","type":"article","venue":"Journal of Raman Spectroscopy","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Raman scattering; Plasmon; Substrate (aquarium); Colloidal gold; Nanotechnology; Surface plasmon resonance; Nanostructure; Nanoparticle; Materials science; Analyte; Raman spectroscopy; Surface-enhanced Raman spectroscopy; Fabrication; Membrane; Chemistry; Optoelectronics; Optics","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":[0.000425109,0.0009187593,0.0004412403,0.0005368369,0.0001957622,0.0005606405,0.00080077,0.0009725745,0.003687242],"category_scores_gemma":[0.0004176497,0.0006646116,0.0003709196,0.0003150381,0.0003873914,0.001004033,0.000645095,0.001026606,0.002536547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002793813,"about_ca_system_score_gemma":0.0001230571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001816892,"about_ca_topic_score_gemma":0.0004479303,"domain_scores_codex":[0.999454,0.00004928836,0.00003509088,0.0001240922,0.0003039397,0.00003362402],"domain_scores_gemma":[0.9997918,0.00006191553,0.00005023237,0.00004293362,0.00003649544,0.00001668477],"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":[0.0000141299,0.00001276625,0.00004716206,0.0001571892,0.000006159219,0.00008232664,0.00001872765,0.0001554179,0.9901609,0.0005773428,0.0005036021,0.008264207],"study_design_scores_gemma":[0.000009329962,0.00007237388,0.0004230497,0.00001552951,0.00001172648,0.0003976622,0.00002151086,0.002593161,0.980514,0.0002368565,0.01568837,0.00001647145],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4622903,0.0254761,0.4432945,0.001293889,0.001357937,0.000957047,0.002497379,0.008200375,0.05463252],"genre_scores_gemma":[0.5229077,0.01256299,0.4238876,0.0008697938,0.0002506142,0.0004654834,0.001889054,0.0004248378,0.03674201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003687242,"threshold_uncertainty_score":0.012335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01409478089473903,"score_gpt":0.2671108452099133,"score_spread":0.2530160643151743,"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."}}