{"id":"W4389104581","doi":"10.1109/tmtt.2023.3334210","title":"A Single-Chip Liquid Crystal Variable Capacitor Using a Microfabrication Process for Tunable RF and Microwave Applications","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Liquid Crystal Research Advancements","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Capacitor; Variable capacitor; Microfabrication; Capacitance; Materials science; Capacitance probe; Optoelectronics; Equivalent series resistance; Decoupling capacitor; Electrical engineering; Chip; Q factor; Microwave; Electronic engineering; Voltage; Fabrication; Engineering; Resonator; Physics; Telecommunications; Electrode","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":[0.0001085431,0.0002827287,0.0002694586,0.0001971448,0.0003085701,0.0004157281,0.0007124586,0.0004903217,0.0013486],"category_scores_gemma":[0.00017682,0.0001643683,0.0002099892,0.000374277,0.0001910834,0.0003813943,0.0002642076,0.0003927228,0.0004210317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000457662,"about_ca_system_score_gemma":0.0006144845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001170441,"about_ca_topic_score_gemma":0.003235639,"domain_scores_codex":[0.9998324,0.000008746691,0.000004964237,0.00004572055,0.0000849792,0.00002313505],"domain_scores_gemma":[0.9999129,0.0000196862,0.00002511972,0.00001316607,0.00001866732,0.00001039934],"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":[0.00001719203,0.00001243727,0.0001270219,0.00007164447,0.000007683401,0.0000998699,0.0000146879,0.0007035878,0.9890919,0.0004232108,0.0002333059,0.009197378],"study_design_scores_gemma":[0.00001031092,0.0001118366,0.0006572062,0.000004207054,0.00001410193,0.0003473402,0.00001390648,0.007791875,0.9843951,0.00004414073,0.006594655,0.00001521157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7869954,0.003122454,0.1920826,0.0007294134,0.0003818781,0.0001823686,0.0007521183,0.001833805,0.01391996],"genre_scores_gemma":[0.8538309,0.0008042955,0.1390577,0.0001485667,0.00004077143,0.0000803914,0.0002757285,0.00006852262,0.005692982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0013486,"threshold_uncertainty_score":0.004511595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03502682114996387,"score_gpt":0.309786192939581,"score_spread":0.2747593717896172,"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."}}