{"id":"W2763434983","doi":"10.1364/oe.25.024803","title":"Improved self-referenced biosensing with emphasis on multiple-resonance nanorod sensors","year":2017,"lang":"en","type":"article","venue":"Optics Express","topic":"Acoustic Wave Resonator Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"CMC Microsystems","keywords":"Nanorod; Refractive index; Materials science; Nanoimprint lithography; Wavelength; Resonance (particle physics); Optics; Surface plasmon resonance; Sensitivity (control systems); Biosensor; Finite element method; Emphasis (telecommunications); Lithography; Optoelectronics; Nanotechnology; Computer science; Fabrication; Physics; Electronic engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00006369898,0.0003250142,0.0002852924,0.00008732892,0.0003146137,0.0001857075,0.00055228,0.0002205051,0.000003448429],"category_scores_gemma":[0.0003412496,0.0002786645,0.00004817288,0.00006311217,0.000157723,0.0001582315,0.0001243123,0.0002971067,0.00001824708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009540127,"about_ca_system_score_gemma":0.00001820174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001379359,"about_ca_topic_score_gemma":0.000009018642,"domain_scores_codex":[0.9987315,0.00001087715,0.000194532,0.000348379,0.0002385441,0.0004761523],"domain_scores_gemma":[0.9983078,0.0001629575,0.00009804313,0.001260065,0.00008701198,0.00008413963],"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":[0.000233679,0.0002732876,0.003140464,0.0004575857,0.0004762627,0.0004122863,0.001180512,0.04336308,0.8671026,0.001348693,0.0007744548,0.08123712],"study_design_scores_gemma":[0.001359874,0.0001621327,0.00240982,0.0002615926,0.00005294019,0.00002268474,0.0002875963,0.4546663,0.5368116,0.00005175446,0.003156936,0.000756777],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922698,0.0001377927,0.001918347,0.00005708584,0.0002728479,0.0002696052,0.00003756329,0.001515006,0.003521969],"genre_scores_gemma":[0.9630361,0.0001342419,0.03651888,0.00001022102,0.00006472553,0.00001998151,0.000002685737,0.00008416788,0.000128956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4113032,"threshold_uncertainty_score":0.9999666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013833807408185,"score_gpt":0.2235022824700876,"score_spread":0.2096684750619026,"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."}}