{"id":"W4280641157","doi":"10.1109/cicc53496.2022.9772836","title":"A 2GHz voltage mode power scalable RF-Front-End with 2.5dB-NF and 0.5dBm-1dBCP","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Custom Integrated Circuits Conference (CICC)","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Electrical engineering; Local oscillator; Radio frequency; Amplifier; Noise figure; Filter (signal processing); Electronic engineering; Acoustics; Phase noise; RF front end; Power (physics); Voltage; Noise (video); SIGNAL (programming language); Telecommunications; Computer science; Engineering; Physics; CMOS","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","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006112063,0.001204799,0.001130003,0.0007984609,0.0006918637,0.0004558949,0.001349915,0.0002907749,0.008911074],"category_scores_gemma":[0.00009490789,0.001149025,0.0001919939,0.001694406,0.0004478282,0.0008425691,0.00004235904,0.002977845,0.0003230284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00129415,"about_ca_system_score_gemma":0.0007724877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001367578,"about_ca_topic_score_gemma":0.000683642,"domain_scores_codex":[0.9944462,0.0002791058,0.0009590038,0.001419305,0.001240192,0.001656191],"domain_scores_gemma":[0.9971771,0.0001824256,0.0002346091,0.001318626,0.0004709919,0.0006163124],"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":[0.0002144934,0.0005653739,0.001853957,0.0003482376,0.001623122,0.001904362,0.009225383,0.07116003,0.7718262,0.01242248,0.08080881,0.04804754],"study_design_scores_gemma":[0.01226643,0.00401871,0.002056534,0.001622717,0.00158287,0.006327831,0.04859162,0.3420071,0.3707388,0.008458592,0.1880453,0.01428356],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5989218,0.003852238,0.04696451,0.0002704714,0.004646685,0.003004336,0.002298111,0.004315178,0.3357267],"genre_scores_gemma":[0.9924968,0.0002127649,0.00007405287,0.000295807,0.0001009113,0.0008474144,0.0002282842,0.0003230492,0.005420872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4010874,"threshold_uncertainty_score":0.9993223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422237543585394,"score_gpt":0.2071805138604743,"score_spread":0.1929581384246203,"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."}}