{"id":"W2004215807","doi":"10.1088/2053-1591/1/2/025022","title":"Femtosecond laser fabrication of silver plasmonic structures for application as single particle SERS detectors","year":2014,"lang":"en","type":"article","venue":"Materials Research Express","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Femtosecond; Fluence; Plasmon; Raman spectroscopy; Laser; Silver nanoparticle; Surface-enhanced Raman spectroscopy; Surface plasmon resonance; Particle (ecology); Fabrication; Optoelectronics; Finite-difference time-domain method; Irradiation; Nanoparticle; Surface plasmon; Nanotechnology; Raman scattering; 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":[0.0001297886,0.0002307257,0.0001883289,0.0001734227,0.0001692075,0.0002701441,0.0002870803,0.0003585145,0.000621397],"category_scores_gemma":[0.0002341952,0.0002535603,0.0002246107,0.0001110448,0.0001877557,0.0002106887,0.0001741993,0.0003943898,0.0003356893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003896854,"about_ca_system_score_gemma":0.0002104155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000449848,"about_ca_topic_score_gemma":0.001053711,"domain_scores_codex":[0.9998971,0.000007173174,0.00000780308,0.00002848695,0.00004301393,0.00001638608],"domain_scores_gemma":[0.9999006,0.00002024107,0.00002411737,0.00001909168,0.00002632015,0.000009604853],"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":[0.00001070251,0.000007375833,0.00005288892,0.00001761088,0.000001367209,0.00002437669,0.0000195042,0.0002217911,0.9975047,0.0001342522,0.00004109455,0.001964565],"study_design_scores_gemma":[0.000003674719,0.00004335056,0.0002333856,0.0000017069,0.000002061047,0.00006532107,0.000007951766,0.002259573,0.9964989,0.00005885301,0.000822535,0.000002594229],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9320474,0.0007847011,0.06231178,0.0002142524,0.0001465217,0.00007220059,0.00012405,0.0005891792,0.003709953],"genre_scores_gemma":[0.9193289,0.0003384882,0.07731149,0.00004445197,0.00001399377,0.00005711716,0.0001164086,0.00005637651,0.002732705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000621397,"threshold_uncertainty_score":0.002827346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04349728244247453,"score_gpt":0.316412481349139,"score_spread":0.2729151989066645,"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."}}