{"id":"W4389543544","doi":"10.1364/fio.2023.ftu6d.5","title":"Design and Simulation of Large-Scale Metalenses","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ansys (Canada)","funders":"","keywords":"Scale (ratio); Computer science; Computational science; Optics; Physics","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":[0.00004517072,0.00003630359,0.00005886061,0.00005013641,0.000008707946,0.000003083692,0.00002887559,0.00002198576,0.000007288891],"category_scores_gemma":[0.00005168038,0.00003206107,0.000007156906,0.0001419548,0.00002552045,0.00006547598,0.00002437274,0.00002780213,0.0000137085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000335823,"about_ca_system_score_gemma":6.394018e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.656312e-7,"about_ca_topic_score_gemma":2.049885e-7,"domain_scores_codex":[0.9997781,0.000002705407,0.00005785353,0.00004659954,0.00003405841,0.0000807067],"domain_scores_gemma":[0.9997769,0.0001260929,0.000004392853,0.00007388338,0.000009978382,0.000008752875],"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":[6.924891e-7,0.000001690901,0.00005710515,0.00001446111,0.000004966401,6.017583e-7,0.00002880269,0.9877824,0.008504436,0.0003718923,0.00009156689,0.003141381],"study_design_scores_gemma":[0.00005148683,0.000006200532,0.0003199591,0.00000318382,0.000003402887,2.170218e-7,0.00005898638,0.9485833,0.04650263,0.004256959,0.0001766971,0.00003699631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1049351,0.00006854488,0.8930416,0.00003291284,0.00001881803,0.00004670692,8.01049e-7,0.001491319,0.0003641506],"genre_scores_gemma":[0.8568171,0.00003545674,0.1430591,0.000003519326,0.000001843595,0.00000246881,6.103338e-7,0.00000721255,0.00007262135],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.751882,"threshold_uncertainty_score":0.1307413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02457731420005439,"score_gpt":0.2787679226075308,"score_spread":0.2541906084074764,"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."}}