{"id":"W2313193335","doi":"10.1109/tcpmt.2014.2349523","title":"Wideband Active Inductor and Negative Capacitance for Broadband RF and Microwave Applications","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Components Packaging and Manufacturing Technology","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wideband; Inductor; Capacitance; Parasitic capacitance; Amplifier; Materials science; CMOS; Electrical engineering; Parasitic extraction; Electronic engineering; Electrical impedance; Optoelectronics; Engineering; Physics; Voltage; Electrode","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001515684,0.000384044,0.0001954027,0.0002873476,0.0001966668,0.0005590845,0.0008674348,0.0004193432,0.001299921],"category_scores_gemma":[0.0003737634,0.0001508588,0.0001791945,0.000332231,0.0002998584,0.001001879,0.0003015084,0.0003576004,0.0004813627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004194629,"about_ca_system_score_gemma":0.0002368585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002007735,"about_ca_topic_score_gemma":0.0005723395,"domain_scores_codex":[0.9998394,0.00001461721,0.000008332888,0.0000395976,0.00007717984,0.000020785],"domain_scores_gemma":[0.9998338,0.00003383159,0.00003874006,0.00002048977,0.00005445413,0.0000186432],"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":[0.00005748289,0.00002247255,0.0002117035,0.0001755702,0.00001160007,0.0001672899,0.00006374608,0.001030173,0.9504845,0.00964148,0.0007864251,0.03734764],"study_design_scores_gemma":[0.00005600778,0.0007181211,0.001089672,0.00004453048,0.0001094722,0.002710492,0.0000741105,0.03661207,0.8455063,0.004207494,0.1088079,0.00006394619],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2456793,0.005599537,0.7014712,0.001046524,0.0006802143,0.0001303309,0.0001890891,0.001808646,0.04339522],"genre_scores_gemma":[0.8915661,0.001187931,0.0993533,0.0002467369,0.0002019618,0.0000466715,0.00009257787,0.00007936999,0.007225432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001299921,"threshold_uncertainty_score":0.004348636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01222247050780161,"score_gpt":0.2080850222624014,"score_spread":0.1958625517545998,"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."}}