{"id":"W2902799894","doi":"10.1109/bcicts.2018.8551125","title":"FinFET for mm Wave - Technology and Circuit Design Challenges","year":2018,"lang":"en","type":"article","venue":"","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Indigenous and Northern Affairs Canada","keywords":"Computer science; Extremely high frequency; Transistor; CMOS; Key (lock); Electronic engineering; Electrical engineering; Node (physics); Leakage (economics); Process (computing); Telecommunications; Engineering; Voltage","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001543943,0.0001676312,0.0001786413,0.0002691338,0.0000551839,0.00002091691,0.0001269747,0.000225841,0.0001025917],"category_scores_gemma":[0.00007331195,0.000155284,0.00002553303,0.00019198,0.0001378267,0.00009556207,0.000002153407,0.0001107819,0.00006029478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007266093,"about_ca_system_score_gemma":0.00002254514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002167134,"about_ca_topic_score_gemma":0.000009512924,"domain_scores_codex":[0.9992195,0.00001177149,0.0001610451,0.0002213688,0.00006068684,0.0003256105],"domain_scores_gemma":[0.9995037,0.00008128772,0.00001505951,0.0002633362,0.0000794202,0.00005717103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006805398,0.00001927959,0.00001853717,0.0001327476,0.0002196123,0.00001767239,0.0007528869,0.0002315622,0.2065362,0.4539241,0.01645852,0.3216821],"study_design_scores_gemma":[0.0007759848,0.0007709298,0.0001611341,0.00006173044,0.00005062271,0.0002102776,0.0003644109,0.03380599,0.7447494,0.1893124,0.02902746,0.0007097027],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006256314,0.005810897,0.773228,0.0004860499,0.0005296031,0.0008450939,0.00001166574,0.00244642,0.2103859],"genre_scores_gemma":[0.994632,0.0006011193,0.004020622,0.00004424234,0.0001297164,0.0001400249,0.000001386752,0.00004997641,0.0003808878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9883757,"threshold_uncertainty_score":0.6332299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06987385568309619,"score_gpt":0.231491852990003,"score_spread":0.1616179973069068,"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."}}