{"id":"W4315778380","doi":"10.1109/ojcas.2023.3236567","title":"An Inductorless Optical Receiver Front-End Employing a High Gain-BW Product Differential Transimpedance Amplifier in 16-nm FinFET Process","year":2023,"lang":"en","type":"article","venue":"IEEE Open Journal of Circuits and Systems","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Huawei Technologies; CMC Microsystems","keywords":"Transimpedance amplifier; Cascode; Transconductance; Gain–bandwidth product; Operational transconductance amplifier; Capacitance; Computer science; Electronic engineering; Amplifier; Front and back ends; Phase margin; Electrical engineering; Differential amplifier; Bandwidth (computing); Physics; Operational amplifier; Transistor; Engineering; Telecommunications; Voltage","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":[0.0001630344,0.0003581734,0.0002733865,0.0002586051,0.0002188981,0.0003990658,0.001303044,0.0005442781,0.001625305],"category_scores_gemma":[0.0002567219,0.0002315422,0.0003280887,0.0002380857,0.000132565,0.0006339941,0.0001892737,0.0003095988,0.001115002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003872438,"about_ca_system_score_gemma":0.0003477139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000660965,"about_ca_topic_score_gemma":0.001613632,"domain_scores_codex":[0.9998506,0.000009696942,0.00001113882,0.00004860044,0.00005708952,0.00002289151],"domain_scores_gemma":[0.9998232,0.00002959482,0.00003435732,0.00002359666,0.00007723123,0.00001212895],"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":[0.0001886599,0.00005564352,0.001277588,0.0002107064,0.0000542099,0.000530453,0.0000729833,0.002238776,0.9525484,0.0021335,0.001007254,0.0396819],"study_design_scores_gemma":[0.00007519534,0.001993347,0.004795692,0.0000540693,0.0001955229,0.00387193,0.00006178148,0.07144368,0.888558,0.0005766752,0.02830148,0.00007258965],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3651723,0.001838343,0.6089942,0.0003758944,0.0004910181,0.0002621114,0.0005532766,0.004784478,0.01752848],"genre_scores_gemma":[0.8183223,0.0004042658,0.1689054,0.0002106884,0.0001020558,0.00006102168,0.0002818262,0.00007041929,0.01164214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001625305,"threshold_uncertainty_score":0.005437195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0432463204237618,"score_gpt":0.2852262979333675,"score_spread":0.2419799775096056,"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."}}