{"id":"W4387105828","doi":"10.1038/s41598-023-43480-5","title":"Highly sensitive label-free biosensor: graphene/CaF2 multilayer for gas, cancer, virus, and diabetes detection with enhanced quality factor and figure of merit","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Graphene; Materials science; Figure of merit; Optoelectronics; Surface plasmon resonance; Dielectric; Biosensor; Refractive index; Plasmon; Grating; Surface plasmon; Electric field; Nanotechnology; Optics; Nanoparticle; 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":[],"consensus_categories":[],"category_scores_codex":[0.0006280706,0.0001614872,0.0002766182,0.0001872259,0.0001756057,0.00008347003,0.00005830081,0.00008641162,0.000005624266],"category_scores_gemma":[0.0001664982,0.0001363021,0.00003743854,0.0005036943,0.0002444529,0.0001345217,0.00004701192,0.000106438,0.000001416348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003030801,"about_ca_system_score_gemma":0.00003775191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001334818,"about_ca_topic_score_gemma":0.0009694395,"domain_scores_codex":[0.9984534,0.00003311158,0.0003097449,0.0004791943,0.0003547166,0.0003697921],"domain_scores_gemma":[0.9990359,0.0001862353,0.0001020001,0.0003683238,0.0001881715,0.0001193736],"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":[0.00002812247,0.00001153866,0.003707024,0.0002172678,0.00007076706,0.0000139401,0.0003235325,0.0008700318,0.9914107,0.000003201365,0.000687207,0.002656653],"study_design_scores_gemma":[0.0003245387,0.00004390002,0.01147964,0.00005763222,0.00001589124,0.000003990191,0.0001272624,0.01486329,0.9716728,0.0001736108,0.001057988,0.0001794038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978437,0.0002416139,0.0001784575,0.00004352135,0.0008515327,0.0004029934,0.0002289172,0.0001622263,0.00004706924],"genre_scores_gemma":[0.998491,0.0001386972,0.0008253172,0.000003388229,0.0000071396,0.00005437005,0.00002603069,0.00002295877,0.000431118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01973786,"threshold_uncertainty_score":0.5558239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02277264679960932,"score_gpt":0.2723648054123624,"score_spread":0.2495921586127531,"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."}}