{"id":"W2118196927","doi":"10.1109/82.899638","title":"A comprehensive design method for dual-gate MOSFET mixers","year":2000,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Nortel (Canada)","funders":"","keywords":"MOSFET; Electronic engineering; Local oscillator; Dual (grammatical number); Power (physics); Process (computing); Radio frequency; Computer science; Electrical engineering; Transistor; Engineering; Voltage; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001890977,0.0003607322,0.000447754,0.0001808759,0.0005333261,0.000539596,0.00008387197,0.0001781976,0.00002061438],"category_scores_gemma":[0.000002505291,0.0003319455,0.00009265083,0.0002773704,0.00009266405,0.0006434107,2.024336e-7,0.0002397899,0.000005949734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006781065,"about_ca_system_score_gemma":0.00004927627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003113508,"about_ca_topic_score_gemma":0.000001603104,"domain_scores_codex":[0.9984558,0.00005850859,0.0004405915,0.0004214569,0.0002008239,0.0004228004],"domain_scores_gemma":[0.9992539,0.000245308,0.00004916502,0.0001234017,0.0001106639,0.0002175086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002341343,0.00004273585,0.000001450417,0.0003732738,0.0001344911,0.00001497571,0.0005828531,0.3338977,0.009716245,0.00004636501,0.0001283247,0.6550382],"study_design_scores_gemma":[0.001247348,0.0006079226,0.00001208469,0.0005912399,0.0001679912,0.0007565787,0.0007480956,0.9830974,0.007830199,0.001061931,0.002992743,0.0008864223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008892635,0.002781083,0.9828021,0.00001366564,0.0001486794,0.0005648084,0.0001458471,0.0003035441,0.004347651],"genre_scores_gemma":[0.998835,0.0001318664,0.0001818324,0.0000484593,0.00006384592,0.0001240102,0.000007892044,0.0000631662,0.000543899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9899424,"threshold_uncertainty_score":0.9999133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03135467468445086,"score_gpt":0.2441150459409573,"score_spread":0.2127603712565065,"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."}}