{"id":"W4242051230","doi":"10.7716/aem.v2i2.189","title":"Tunable Nanoplasmonics","year":2013,"lang":"en","type":"article","venue":"Advanced Electromagnetics","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Wideband; Plasmon; Materials science; Optoelectronics; Computer science; Electronic engineering; Filter (signal processing); Transmission (telecommunications); Nanotechnology; Engineering; Telecommunications","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":[0.0001576706,0.0002587316,0.0001700387,0.0001801631,0.0002852116,0.0003564157,0.0006683443,0.0003811238,0.003874671],"category_scores_gemma":[0.000229644,0.0001291901,0.0001263872,0.00008449057,0.0004175688,0.0006876221,0.000502073,0.0005122506,0.0009032578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003401318,"about_ca_system_score_gemma":0.0001084364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000981415,"about_ca_topic_score_gemma":0.0002545308,"domain_scores_codex":[0.9998521,0.00001358228,0.000008703443,0.00005057251,0.00005517616,0.00001982071],"domain_scores_gemma":[0.9998629,0.00005088355,0.00002825449,0.00002476557,0.00001768245,0.00001551511],"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":[0.00004809484,0.00001520725,0.0001001244,0.0001316588,0.000005948276,0.00008386865,0.0000437906,0.0002377578,0.9776781,0.009296597,0.0008118258,0.0115471],"study_design_scores_gemma":[0.00002370008,0.000147253,0.0006685616,0.00002628293,0.00001514905,0.0004986691,0.00005300469,0.007246879,0.9210446,0.0038013,0.06644664,0.00002786056],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5730538,0.02955605,0.2902924,0.003344091,0.002847092,0.0002464496,0.001138456,0.004220665,0.09530096],"genre_scores_gemma":[0.9467926,0.002642291,0.03919698,0.0005887136,0.0002463172,0.0001335687,0.0001577842,0.0001418796,0.01009997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003874671,"threshold_uncertainty_score":0.01296204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004090166082448631,"score_gpt":0.1939744131720497,"score_spread":0.1898842470896011,"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."}}