{"id":"W4391238294","doi":"10.2172/2282582","title":"VUV light collection enhancement with metasurface lenses","year":2024,"lang":"en","type":"article","venue":"","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Optoelectronics; Optics; Materials science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001735514,0.0006398515,0.0003034947,0.0004049132,0.0001579585,0.0007850642,0.0005983924,0.0004827586,0.001230446],"category_scores_gemma":[0.0003126257,0.0002956633,0.0004141217,0.0005125082,0.000225035,0.0007226652,0.0005949073,0.0003749323,0.0004720577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007938512,"about_ca_system_score_gemma":0.0002057063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005351283,"about_ca_topic_score_gemma":0.0008487328,"domain_scores_codex":[0.9997694,0.00001801708,0.00001089093,0.00004623651,0.0001071204,0.00004834005],"domain_scores_gemma":[0.9997235,0.00006275786,0.00008670312,0.00003466602,0.00006280858,0.00002952292],"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":[0.00004940652,0.00001803332,0.0001838771,0.00006359514,0.00001066766,0.00006012524,0.00003492455,0.0003923374,0.9931553,0.000550561,0.0001801254,0.005301034],"study_design_scores_gemma":[0.0000114984,0.0001034802,0.0006423767,0.00000690621,0.00001015834,0.000151345,0.00001853691,0.00539272,0.9905819,0.00008098358,0.002981754,0.00001841466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9258649,0.0043856,0.05651783,0.0002998291,0.0001734841,0.00008136917,0.0003138859,0.001173618,0.01118948],"genre_scores_gemma":[0.9553692,0.001099903,0.03928082,0.00007200014,0.00005274036,0.00003620277,0.0001220899,0.0000800695,0.003886955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001230446,"threshold_uncertainty_score":0.005759776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008706705946449055,"score_gpt":0.2099591355258438,"score_spread":0.2012524295793947,"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."}}