{"id":"W1976694416","doi":"10.1364/oe.17.012351","title":"Plasmonic meta-screen for alleviating the trade-offs in the near-field optics","year":2009,"lang":"en","type":"article","venue":"Optics Express","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Beamwidth; Optics; Aperture (computer memory); Near and far field; Antenna (radio); Plasmon; Antenna array; Wavelength; Superposition principle; Antenna aperture; Surface plasmon; Physics; Radiation pattern; Computer science; Telecommunications; Acoustics","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":[0.0008633479,0.0002367766,0.0003165746,0.00004354421,0.0002161733,0.0002348863,0.0008299057,0.0001524723,0.00002100203],"category_scores_gemma":[0.0002052692,0.0001438684,0.0001924405,0.0002083015,0.0000473599,0.0001251963,0.00004052429,0.0006015865,0.00001068008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003115762,"about_ca_system_score_gemma":0.0000339044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001164995,"about_ca_topic_score_gemma":0.00002944701,"domain_scores_codex":[0.9983988,0.00007274914,0.0003065857,0.0002101963,0.000404549,0.0006070826],"domain_scores_gemma":[0.9976025,0.001760842,0.00003782742,0.0005026104,0.00002687126,0.00006929728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009645413,0.0001600414,0.0001392465,0.0001056993,0.0006948111,0.00004726353,0.004348561,0.9449123,0.003910851,0.01940102,0.0206154,0.005568341],"study_design_scores_gemma":[0.0005308872,0.0001475343,0.0002663962,0.00002185082,0.0001530155,0.000009826018,0.0006295106,0.9765868,0.005359368,0.0008026551,0.01522305,0.0002691631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.893033,0.004023663,0.03100947,0.02019008,0.0005177908,0.002997261,0.000157939,0.0004170235,0.04765378],"genre_scores_gemma":[0.9652508,0.0003355137,0.03343852,0.0005219835,0.00003503028,0.0001440682,0.00001340114,0.00003794665,0.0002226931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07221784,"threshold_uncertainty_score":0.5866782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0439987028897464,"score_gpt":0.276352995846543,"score_spread":0.2323542929567966,"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."}}