{"id":"W2068312593","doi":"10.1364/oe.17.021191","title":"Phase and amplitude sensitivities in surface plasmon resonance bio and chemical sensing","year":2009,"lang":"en","type":"article","venue":"Optics Express","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":283,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Engineering and Physical Sciences Research Council; CHIST-ERA; Agence Nationale de la Recherche","keywords":"Amplitude; Sensitivity (control systems); Optics; Phase response; Phase (matter); Refractive index; Surface plasmon resonance; Noise (video); Signal-to-noise ratio (imaging); SIGNAL (programming language); Physics; Surface plasmon; Materials science; Plasmon; Computer science; Nanotechnology; Electronic engineering; Image (mathematics)","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":[0.0001097867,0.0001451353,0.0001701844,0.00002976813,0.0000431491,0.00003848331,0.00003904683,0.0001335548,9.456912e-8],"category_scores_gemma":[0.00004229139,0.0001397868,0.00002527375,0.00005880058,0.0001354686,0.000005706182,0.00006008324,0.00008866612,1.070604e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008075346,"about_ca_system_score_gemma":0.000009041646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006678575,"about_ca_topic_score_gemma":0.000005894947,"domain_scores_codex":[0.999217,0.00002962458,0.000148131,0.000334652,0.00007501987,0.0001955295],"domain_scores_gemma":[0.9996589,0.00001944909,0.00004450074,0.0001844967,0.00003661891,0.00005597449],"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":[0.00008146228,0.00005871429,0.0001097194,0.000005775818,0.000005733412,0.00001651448,0.00004718641,0.000005607793,0.9891506,0.00004758863,0.00005397159,0.01041716],"study_design_scores_gemma":[0.0005778895,0.0001567138,0.0001233749,0.00004555683,0.00001071867,0.00004449781,0.00008437403,0.001305311,0.9960864,0.000196851,0.001169465,0.0001988512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976757,0.0006900232,0.001173074,0.0001460768,0.00001129857,0.00006929602,0.00001553181,0.00002238334,0.0001966269],"genre_scores_gemma":[0.9669924,0.0006335441,0.03207067,0.0001461365,0.00004354477,3.039914e-7,0.00002980936,0.00000929611,0.00007424744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03089759,"threshold_uncertainty_score":0.5700339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009602815044453894,"score_gpt":0.2745533385301132,"score_spread":0.2649505234856593,"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."}}