{"id":"W4226151105","doi":"10.1007/s11468-021-01560-0","title":"All-Optical Tunable Plasmonic Biosensor Made of Graphene and Metamaterial","year":2022,"lang":"en","type":"article","venue":"Plasmonics","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Biosensor; Materials science; Graphene; Metamaterial; Plasmon; Interferometry; Optoelectronics; Mach–Zehnder interferometer; Dielectric; Nanotechnology; Optics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004664819,0.000274599,0.0004650532,0.0002326146,0.000173813,0.00004651462,0.0003560371,0.0001168667,0.0003482698],"category_scores_gemma":[0.00005276395,0.000290277,0.0001102301,0.0003621091,0.0001471963,0.0001281969,0.0003294953,0.0005370711,0.00003076252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000108225,"about_ca_system_score_gemma":0.00006625494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003169239,"about_ca_topic_score_gemma":0.00000996593,"domain_scores_codex":[0.9978364,0.00007452639,0.0004521122,0.0003335694,0.0006179004,0.0006855446],"domain_scores_gemma":[0.9990755,0.0002762465,0.00005357695,0.0003446931,0.00003707208,0.0002128683],"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":[0.0007433412,0.0004490153,0.005054952,0.0006556187,0.001261631,0.0002588316,0.0009952355,0.3783298,0.5857725,0.01424128,0.01066376,0.001574036],"study_design_scores_gemma":[0.002767461,0.0004654936,0.002678942,0.00002622366,0.0001816776,0.0002426215,0.0007152306,0.4555453,0.4655376,0.001083181,0.06975374,0.001002533],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949654,0.0008700607,0.00005510944,0.0001530174,0.000534614,0.0002275446,0.0002211439,0.0002125119,0.002760538],"genre_scores_gemma":[0.9932352,0.0006478542,0.005609009,0.00003512733,0.00000675838,0.00006572764,0.0000405312,0.00006409028,0.00029566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1202349,"threshold_uncertainty_score":0.9999549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652263773462007,"score_gpt":0.2251040377454012,"score_spread":0.2085814000107812,"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."}}