{"id":"W3160844510","doi":"10.1063/5.0050871","title":"<i>In situ</i> evaluation of plasmonic enhancement of gold tips for plasmon-enhanced imaging techniques","year":2021,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Plasmon; Materials science; Surface plasmon resonance; Optics; Raman spectroscopy; Surface plasmon; Wavelength; Optoelectronics; Raman scattering; Near and far field; Antenna (radio); Nanotechnology; Physics; Nanoparticle; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002427702,0.00008767018,0.000328728,0.00006492627,0.00004428834,0.00001915252,0.0002036335,0.00002032559,0.0002034394],"category_scores_gemma":[0.0001343591,0.00007805918,0.00009882289,0.0003767642,0.00012393,0.000171457,0.00005941296,0.00002467076,0.00000791423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005088438,"about_ca_system_score_gemma":0.0001888541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005187479,"about_ca_topic_score_gemma":0.000005912729,"domain_scores_codex":[0.9981622,0.00008462944,0.000736042,0.0002945412,0.0005537168,0.000168935],"domain_scores_gemma":[0.9986209,0.00004442041,0.0004230827,0.0003501759,0.0005331885,0.00002823541],"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":[0.000004341608,0.0001759933,0.00005247069,0.001270887,0.000003505874,4.963668e-8,0.00004219396,5.998483e-7,0.9358897,0.0004016219,0.0003276307,0.06183103],"study_design_scores_gemma":[0.0002538794,0.00001716784,0.00005049573,0.003729654,0.00005629192,7.209087e-7,0.0000425021,0.0001830735,0.9938751,0.0004407944,0.00128302,0.00006723778],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953277,0.00243902,0.00007063773,0.0001400066,0.0002088561,0.000722628,0.00004409339,0.000005637787,0.001041407],"genre_scores_gemma":[0.9948913,0.001412874,0.003353197,0.00004224045,0.000006111375,0.0001795914,0.00001772284,0.000005203794,0.00009172725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06176379,"threshold_uncertainty_score":0.3183161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02904463792490702,"score_gpt":0.310155266198934,"score_spread":0.2811106282740269,"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."}}