{"id":"W2128723418","doi":"10.1109/jphot.2011.2143702","title":"Improved Performance of Nanohole Surface Plasmon Resonance Sensors by the Integrated Response Method","year":2011,"lang":"en","type":"article","venue":"IEEE photonics journal","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Victoria","funders":"","keywords":"Materials science; Refractive index; Surface plasmon resonance; Surface plasmon; Plasmon; Wavelength; Transmission (telecommunications); Signal-to-noise ratio (imaging); SIGNAL (programming language); Optoelectronics; Optics; Extraordinary optical transmission; Noise (video); Surface plasmon polariton; Nanotechnology; Nanoparticle; Physics; Telecommunications; Computer science","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":[0.00279952,0.0002581005,0.0003371272,0.00008905513,0.0002041921,0.00004921179,0.0006321747,0.0001708889,0.0001363812],"category_scores_gemma":[0.0001200243,0.0001831684,0.0001287005,0.0003944756,0.0001292763,0.0002130422,0.00003632001,0.001290225,0.0000265167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001574184,"about_ca_system_score_gemma":0.0001945395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005828792,"about_ca_topic_score_gemma":0.00001255989,"domain_scores_codex":[0.9979008,0.0003421977,0.0005320898,0.0001949173,0.0004369446,0.000593033],"domain_scores_gemma":[0.9986218,0.0004703141,0.0001382806,0.0003830418,0.0002073228,0.0001792943],"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":[0.002438071,0.00007202984,0.0006178549,0.00003994856,0.0001423018,0.00003314095,0.001722542,0.05714728,0.9282293,0.000006617246,0.00812664,0.001424243],"study_design_scores_gemma":[0.0003856149,0.000137603,0.0002751194,0.00003904113,0.00001075522,0.0001503768,0.0001894042,0.4825661,0.5099419,0.000007288332,0.006159415,0.0001373081],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960166,0.001353725,0.00099152,0.00004816252,0.0005278075,0.0001837968,0.0000678998,0.00007079994,0.0007397038],"genre_scores_gemma":[0.9728922,0.001711254,0.02420899,0.00002385057,0.000004899515,0.000006764883,0.000001708215,0.00005743075,0.001092895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4254189,"threshold_uncertainty_score":0.7469389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0223271777275719,"score_gpt":0.2505430664708258,"score_spread":0.2282158887432539,"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."}}