{"id":"W4281643373","doi":"10.1038/s41598-022-13033-3","title":"On-chip complex refractive index detection at multiple wavelengths for selective sensing","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Refractive index; Resonator; Materials science; Wavelength; Absorption (acoustics); Surface plasmon resonance; Resonance (particle physics); Optics; Optoelectronics; Dispersion (optics); Spectroscopy; Analytical Chemistry (journal); Chemistry; Nanotechnology; 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":[0.0005834018,0.0001347027,0.000159838,0.0001398729,0.0009438921,0.0000754819,0.00006556424,0.00004097633,0.00006826886],"category_scores_gemma":[0.0001947236,0.0001394574,0.00008855345,0.0003794381,0.0000654961,0.00009677322,0.0000763601,0.0002159833,0.00001198245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000544232,"about_ca_system_score_gemma":0.00003485624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002206218,"about_ca_topic_score_gemma":0.0001603962,"domain_scores_codex":[0.9985241,0.00003224012,0.0002706913,0.0004871515,0.0003627417,0.0003230761],"domain_scores_gemma":[0.9991699,0.0002298329,0.00009626721,0.0003345363,0.00008636146,0.00008308562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003899098,0.0002145552,0.0008017426,0.0001594039,0.0002762701,0.0004322222,0.00287491,0.2053831,0.7274615,0.0002767079,0.02684929,0.03488041],"study_design_scores_gemma":[0.0002833155,0.00008605803,0.002225787,0.000009929344,0.00001882813,0.0002416096,0.0002673951,0.7642035,0.1631646,0.006576038,0.06263007,0.0002928484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777929,0.00003139135,0.005454174,0.00001978381,0.00607171,0.000622316,0.00002004607,0.0002849179,0.009702797],"genre_scores_gemma":[0.9987656,4.907754e-7,0.0004184359,0.0000313876,0.00004144635,0.00005663389,0.00005185325,0.00002880958,0.0006053389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5642969,"threshold_uncertainty_score":0.725975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01623287831985737,"score_gpt":0.235137438897227,"score_spread":0.2189045605773696,"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."}}