{"id":"W2995545553","doi":"","title":"Gold nanostructuring by soft UV-nanoimprint lithography for surface-enhanced Raman scattering applications: directional and enhancement localization properties","year":2016,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Nanoimprint lithography; Materials science; Raman scattering; Soft lithography; Nanotechnology; Lithography; Nanolithography; Raman spectroscopy; Scattering; Optoelectronics; Optics; Fabrication; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000255693,0.0004592507,0.0003240068,0.0002330783,0.0002218849,0.0004931504,0.0002942291,0.0004816589,0.001307189],"category_scores_gemma":[0.0003430707,0.0002800363,0.0002384819,0.0001961853,0.0003973102,0.000375393,0.0003357844,0.0003991014,0.0009127459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003689843,"about_ca_system_score_gemma":0.0002006132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003846819,"about_ca_topic_score_gemma":0.0008303006,"domain_scores_codex":[0.9997796,0.00001935933,0.00001388435,0.00006450649,0.00009151073,0.00003111537],"domain_scores_gemma":[0.9997402,0.0000870709,0.00005561208,0.00004095965,0.0000561506,0.00001993121],"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":[0.00002031854,0.000005783863,0.00003517999,0.00004127893,0.000002378022,0.00001839281,0.00001893127,0.00009090547,0.9979645,0.0001032616,0.00004937728,0.001649657],"study_design_scores_gemma":[0.000002774379,0.00002302875,0.0002619422,0.0000014731,0.000002681414,0.00003219151,0.000007561968,0.0008357096,0.9984585,0.00003203636,0.0003391346,0.000002923199],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9411858,0.002737395,0.04531477,0.0003658789,0.0001567837,0.00007505561,0.0002264543,0.0006440761,0.009293932],"genre_scores_gemma":[0.975141,0.0009738625,0.01689962,0.00006333265,0.00002617647,0.00003218925,0.00009998835,0.0001216252,0.006642167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001307189,"threshold_uncertainty_score":0.004373014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175463790507047,"score_gpt":0.2114614101281207,"score_spread":0.1997067722230502,"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."}}