{"id":"W4205765464","doi":"10.1364/ol.449863","title":"Broadband tunable metasurface platform enabled by dynamic phase compensation","year":2022,"lang":"en","type":"article","venue":"Optics Letters","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"Natural Science Foundation of Heilongjiang Province; National Natural Science Foundation of China","keywords":"Optics; Broadband; Varicap; Compensation (psychology); Wireless power transfer; Phase (matter); Antenna (radio); Holography; Computer science; Optoelectronics; Materials science; Wireless; Physics; Telecommunications","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":[0.00007293004,0.000369945,0.0001870724,0.0002100589,0.000108018,0.0003239423,0.0004759747,0.000478986,0.0008750116],"category_scores_gemma":[0.0001132498,0.0001674829,0.0002023531,0.0002062346,0.0002032719,0.0004390491,0.0004045424,0.0004765334,0.0003412695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002120145,"about_ca_system_score_gemma":0.0001025714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001168892,"about_ca_topic_score_gemma":0.000202082,"domain_scores_codex":[0.9999374,0.000004157375,0.000002743631,0.00001554826,0.00002741425,0.00001277679],"domain_scores_gemma":[0.9999343,0.00001185086,0.00002207526,0.00001321383,0.00001072612,0.000007800246],"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":[0.0000142113,0.000006343768,0.00003291328,0.00001820744,0.000002605872,0.00003352437,0.000005452594,0.0002760888,0.9967667,0.0005985622,0.00005088442,0.002194516],"study_design_scores_gemma":[0.0000144813,0.00007473622,0.000204548,0.000003411282,0.000007042173,0.000144688,0.000009255419,0.009980774,0.9861167,0.0002589762,0.003175564,0.000009829425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8850099,0.00256352,0.1012995,0.0003486954,0.0002908779,0.00004485575,0.0002161654,0.0009804094,0.009246046],"genre_scores_gemma":[0.9753187,0.0004392306,0.02249592,0.00004195785,0.00002028829,0.00002099681,0.00007948984,0.00003324905,0.001550175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008750116,"threshold_uncertainty_score":0.002927244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01719163507496657,"score_gpt":0.2621048702782285,"score_spread":0.2449132352032619,"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."}}