{"id":"W4239446160","doi":"10.1364/cleo_si.2019.sth1o.5","title":"Large-area, single material metalens in the visible: An approach for mass-production using conventional semiconductor manufacturing techniques","year":2019,"lang":"en","type":"article","venue":"Conference on Lasers and Electro-Optics","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Semiconductor; Production (economics); Semiconductor device fabrication; Optoelectronics; Semiconductor materials; Materials science; Nanotechnology; Process engineering; Computer science; Engineering","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":[0.0009089748,0.0001938435,0.0002813621,0.00007932932,0.0001820003,0.0002811029,0.0002233225,0.00009787916,0.0002051369],"category_scores_gemma":[0.00001922007,0.0001450609,0.00004351565,0.0000768281,0.0000631993,0.0002746465,0.00002653821,0.00009557548,0.000005577177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003771998,"about_ca_system_score_gemma":0.0000521771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001654762,"about_ca_topic_score_gemma":0.000005022444,"domain_scores_codex":[0.9985647,0.0001092575,0.0003008596,0.0004600219,0.000190793,0.0003744054],"domain_scores_gemma":[0.9993349,0.0000331486,0.0001581616,0.000340016,0.00007987436,0.00005390168],"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":[0.00007715122,0.0001247346,0.00002334437,0.00005778929,0.000007344707,2.773912e-7,0.00008873158,0.0000720068,0.9921463,0.007268685,0.00003030196,0.000103315],"study_design_scores_gemma":[0.0002718193,0.000238326,0.00004664544,0.00002714682,0.00004336386,0.00001052813,0.0004591121,0.004443602,0.9913833,0.002442066,0.000439023,0.0001951166],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923686,0.00002512786,0.005881371,0.0001125231,0.0002858132,0.0008556003,0.0001344968,0.00004550194,0.000290961],"genre_scores_gemma":[0.9744904,0.00005547263,0.02483071,0.00009734969,0.0001356673,0.0001083185,0.0001437914,0.00001960342,0.0001186813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01894934,"threshold_uncertainty_score":0.5915411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05888275306011839,"score_gpt":0.2865545649570401,"score_spread":0.2276718118969217,"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."}}