{"id":"W1575843463","doi":"10.1109/tcsi.2015.2440732","title":"10-Gb/s 0.13-<formula formulatype=\"inline\"> <tex Notation=\"TeX\">$\\mu{\\rm m}$</tex></formula> CMOS Inductorless Modified-RGC Transimpedance Amplifier","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems I Regular Papers","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Alberta Innovates - Technology Futures; CMC Microsystems","keywords":"Transimpedance amplifier; CMOS; Photodiode; Capacitance; Bandwidth (computing); Physics; Cascode; Amplifier; Electrical engineering; Optoelectronics; Electronic engineering; Operational amplifier; Computer science; Telecommunications; Engineering","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":[0.000149535,0.0002661679,0.00021694,0.0002737572,0.00016478,0.0005081446,0.0007278391,0.0003774713,0.005244075],"category_scores_gemma":[0.000315976,0.0001197266,0.0001458669,0.0003445934,0.0001251066,0.0004745251,0.0001462629,0.0003002583,0.002267654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006508884,"about_ca_system_score_gemma":0.0002457172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001066028,"about_ca_topic_score_gemma":0.002179492,"domain_scores_codex":[0.9998902,0.000006859313,0.000005602937,0.00003739057,0.0000369777,0.00002299525],"domain_scores_gemma":[0.9998806,0.00002677104,0.00002044099,0.00002238464,0.00004083579,0.000008952878],"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":[0.00009532238,0.00004018509,0.0007569142,0.00006862167,0.00001758239,0.0001223981,0.0001118225,0.0006632843,0.969514,0.001631543,0.001765231,0.02521314],"study_design_scores_gemma":[0.00003595291,0.0004762504,0.00425307,0.00002665164,0.00005937637,0.0007612093,0.00007315855,0.02900136,0.9298446,0.000365551,0.03507505,0.00002775858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8099666,0.001098398,0.1430949,0.0005571361,0.0003107495,0.000152311,0.001665222,0.01232795,0.03082677],"genre_scores_gemma":[0.9270499,0.0003736802,0.0529537,0.0001971437,0.00005098178,0.00005182212,0.0008708615,0.000278675,0.01817322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005244075,"threshold_uncertainty_score":0.0175432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03132150719663352,"score_gpt":0.2264852469981279,"score_spread":0.1951637398014943,"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."}}