{"id":"W1991048508","doi":"10.1109/esscirc.2007.4430343","title":"Design for millimeter-wave applications in silicon technologies","year":2007,"lang":"en","type":"article","venue":"Proceedings of ESSCIRC","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"CMOS; BiCMOS; Extremely high frequency; Electronic circuit; Electronic engineering; Computer science; Electrical engineering; Silicon on insulator; Engineering; Cruise control; Transistor; Telecommunications; Silicon; Materials science; Control (management); Optoelectronics","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":[0.0002609019,0.0003279724,0.00018313,0.0002234466,0.0002154651,0.0008511227,0.0004705251,0.0004841466,0.004320739],"category_scores_gemma":[0.0003773376,0.0001953656,0.0002404376,0.0002122971,0.0001605642,0.000513232,0.0002829852,0.0003462749,0.002340822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004387268,"about_ca_system_score_gemma":0.0004508989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003007809,"about_ca_topic_score_gemma":0.0006986997,"domain_scores_codex":[0.9997477,0.00003067812,0.00001411058,0.00002894652,0.0001424999,0.00003610701],"domain_scores_gemma":[0.9998626,0.00002625397,0.00002007352,0.00001329388,0.00006977728,0.000008172644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001537825,0.00007559323,0.001313642,0.00124032,0.0001005672,0.0004308271,0.0005778502,0.03119498,0.3616989,0.2156772,0.02102841,0.3665078],"study_design_scores_gemma":[0.0001125141,0.0008798348,0.001379012,0.0003802573,0.0001309887,0.001342527,0.00023605,0.1370819,0.186668,0.04508487,0.6266535,0.00005058751],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0327336,0.007459793,0.8510825,0.001321788,0.0006581614,0.0002444174,0.0001814456,0.001458197,0.1048601],"genre_scores_gemma":[0.4922668,0.0102133,0.4356143,0.001071645,0.0004789087,0.0004834081,0.0004994547,0.0004096274,0.05896261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004320739,"threshold_uncertainty_score":0.01445431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03149169865824585,"score_gpt":0.2383986315838897,"score_spread":0.2069069329256438,"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."}}