{"id":"W3089291993","doi":"10.1364/3d.2020.jtu2a.19","title":"Using Loss to Narrow Plasmon Linewidths","year":2020,"lang":"en","type":"article","venue":"Imaging and Applied Optics Congress","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Victoria","funders":"","keywords":"Laser linewidth; Plasmon; Lossy compression; Materials science; Scattering; Surface plasmon; Optoelectronics; Nanoparticle; Surface plasmon resonance; Biosensor; Light scattering; Optics; Nanotechnology; Physics; Computer science","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":[0.0002880855,0.0006203413,0.0003258413,0.0003468089,0.0003044368,0.0008165365,0.0005274244,0.0004919251,0.001916206],"category_scores_gemma":[0.0007654677,0.0003364662,0.0002276685,0.0002572143,0.0008017088,0.001319697,0.0008526199,0.0006972074,0.001275784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008223531,"about_ca_system_score_gemma":0.0002822019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003887681,"about_ca_topic_score_gemma":0.0005675964,"domain_scores_codex":[0.999744,0.00002453705,0.00001620581,0.00006721353,0.0001094557,0.00003866439],"domain_scores_gemma":[0.9995884,0.0000972678,0.00009512275,0.00008927941,0.00009751802,0.00003251284],"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":[0.00009124065,0.00003245498,0.0002059796,0.0001165366,0.000008190205,0.00009606606,0.00009179836,0.001024935,0.9759901,0.006395006,0.0005303284,0.01541749],"study_design_scores_gemma":[0.0000171965,0.0001305333,0.0003430328,0.00001430368,0.00001115465,0.0002771957,0.00002703576,0.004373828,0.9788881,0.00157312,0.01432958,0.00001486996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7325286,0.005313359,0.2105646,0.001915898,0.0005272385,0.0001600096,0.0003042313,0.00323857,0.04544746],"genre_scores_gemma":[0.9198974,0.002654702,0.05363726,0.0007036815,0.0001265584,0.00008190237,0.0001812879,0.0004672234,0.02224995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001916206,"threshold_uncertainty_score":0.006410301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03188876034076961,"score_gpt":0.2652651852750151,"score_spread":0.2333764249342455,"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."}}