{"id":"W4400658981","doi":"10.1364/oe.531098","title":"Ultra-short and highly efficient metamaterial Fresnel lens-assisted taper","year":2024,"lang":"en","type":"article","venue":"Optics Express","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; National Institute for Nanotechnology","funders":"National Research Council Canada; Jewish Community Foundation of Montreal; McGill University","keywords":"Optics; Fresnel lens; Fresnel number; Metamaterial; Fresnel zone; Fresnel equations; Lens (geology); Fresnel diffraction; Materials science; Transformation optics; Physics; Refractive index; Diffraction","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":[],"consensus_categories":[],"category_scores_codex":[0.0006026124,0.0002444294,0.0003429294,0.00007232534,0.0002005319,0.0007264963,0.0002737106,0.0001123469,0.0007321211],"category_scores_gemma":[0.00003669122,0.0001943326,0.00006919118,0.0001353025,0.0001496543,0.000172176,0.0001080395,0.00008502083,0.0003335178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002499749,"about_ca_system_score_gemma":0.00003941462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002948792,"about_ca_topic_score_gemma":0.000002134835,"domain_scores_codex":[0.9982004,0.00009737958,0.0004255832,0.0005732074,0.0003272084,0.0003762055],"domain_scores_gemma":[0.9991232,0.0001080789,0.00005088991,0.0005055252,0.0000738762,0.0001384701],"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":[0.00001840561,0.00005349973,0.000002262863,0.0001109309,0.00002205424,0.00001032305,0.0002225487,0.0001967519,0.986262,0.01215213,0.0007019372,0.0002471255],"study_design_scores_gemma":[0.0001540124,0.00003148337,0.0001376113,0.00005988952,0.0001248943,0.00002611287,0.00004478927,0.001091834,0.9439238,0.0001682566,0.05397438,0.000262898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921808,0.001259713,0.001314562,0.0002557991,0.002198603,0.0003549117,0.0002940537,0.0002439343,0.00189765],"genre_scores_gemma":[0.9864228,0.000179475,0.01229255,0.0001074458,0.0002598739,0.0001300499,0.00003595284,0.00004596292,0.0005259312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05327244,"threshold_uncertainty_score":0.8016212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03033412708769863,"score_gpt":0.2692107110877525,"score_spread":0.2388765840000538,"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."}}