{"id":"W6920661776","doi":"10.60692/repcz-h1p21","title":"Numerical design of high-performance WS2/metal/WS2/graphene heterostructure based surface plasmon resonance refractive index sensor","year":2021,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Surface plasmon resonance; Refractive index; Heterojunction; Sensitivity (control systems); Finite-difference time-domain method; Coating; Surface plasmon; Resonance (particle physics); Localized surface plasmon","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":[0.0001507325,0.0002854638,0.0002663928,0.0001610797,0.0001831684,0.0003071197,0.0005422462,0.0004442783,0.0006669216],"category_scores_gemma":[0.0002044588,0.000253166,0.0002673199,0.0001592784,0.0002083156,0.0002512529,0.0001919925,0.0001781347,0.0001792164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006222578,"about_ca_system_score_gemma":0.0006658298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003232077,"about_ca_topic_score_gemma":0.003314153,"domain_scores_codex":[0.9999328,0.000009090586,0.000003343225,0.00001547169,0.00003048276,0.000008795282],"domain_scores_gemma":[0.9999377,0.00001405679,0.00001360061,0.000005616621,0.00002304198,0.000006095168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008223295,0.00006889245,0.001325934,0.0001247836,0.00003666157,0.00015946,0.00003862501,0.6053599,0.3806423,0.003367423,0.0003522108,0.008441628],"study_design_scores_gemma":[0.000007697218,0.00002768931,0.0002784307,0.000001325115,0.000004718043,0.000009555793,0.000004880859,0.9836368,0.01562677,0.0001197019,0.0002763675,0.000006134621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5116257,0.0003878852,0.476895,0.0003052416,0.00007720588,0.0001375904,0.0003315863,0.0006254484,0.009614374],"genre_scores_gemma":[0.8479416,0.0001623278,0.1496767,0.00003583233,0.000007396649,0.000128662,0.0001083425,0.0000294931,0.001909516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003232077,"threshold_uncertainty_score":0.006426573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02139487519308582,"score_gpt":0.2010672488557519,"score_spread":0.1796723736626661,"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."}}