{"id":"W2168850682","doi":"10.1109/leos.2006.279140","title":"Enhanced SPR Sensitivity Using Sinusoidal Gratings","year":2006,"lang":"en","type":"article","venue":"","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Materials science; Refractive index; Grating; Sensitivity (control systems); Optics; Optoelectronics; Wavelength; Surface plasmon; Plasmon; Enhanced Data Rates for GSM Evolution; Diffraction grating; Band gap; Physics; Computer science; Electronic 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":[0.0002518059,0.0002647694,0.000293527,0.0002545194,0.00007857841,0.0003167599,0.0002620983,0.0003272425,0.0008830576],"category_scores_gemma":[0.0006081067,0.0002082249,0.0001716283,0.0002341077,0.0002553224,0.0002629815,0.0003958268,0.0002426767,0.0003861361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002346172,"about_ca_system_score_gemma":0.000104052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003170711,"about_ca_topic_score_gemma":0.0004101643,"domain_scores_codex":[0.9997047,0.00004136164,0.00002474697,0.00006090277,0.0001040509,0.00006416507],"domain_scores_gemma":[0.9995636,0.0001662683,0.00007195206,0.00005561096,0.0001023373,0.00004013651],"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":[0.0000451073,0.000009154531,0.0001553991,0.00003931171,0.000003031682,0.00003762062,0.00001127306,0.0001530556,0.9962397,0.0001150309,0.00006441929,0.003126804],"study_design_scores_gemma":[0.00001135118,0.0001275501,0.00112478,0.000002884079,0.00000622458,0.0001835834,0.00001240502,0.003407113,0.9943633,0.00006035835,0.0006939529,0.000006332596],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829202,0.0005492828,0.01299192,0.0001452626,0.0000673898,0.0000185104,0.00007128609,0.0004153375,0.002820864],"genre_scores_gemma":[0.9882683,0.0003978516,0.009397482,0.00008977421,0.00002185353,0.000009275888,0.00006969288,0.00002746644,0.00171838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008830576,"threshold_uncertainty_score":0.002954066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219842533788667,"score_gpt":0.230011984531956,"score_spread":0.2178135591940693,"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."}}