{"id":"W2023776678","doi":"10.1049/el:20030148","title":"Ultra-low-voltage SOI CMOS inverting driver circuit using effective charge pump based on bootstrap technique","year":2003,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Charge pump; CMOS; Silicon on insulator; Capacitor; Voltage; Electrical engineering; Electronic engineering; Very-large-scale integration; Engineering; Computer science; Materials science; Optoelectronics; Silicon","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":[0.0005072649,0.0004280435,0.0003504827,0.0002570208,0.0001971216,0.00005700604,0.0002216197,0.0002027072,0.00008175084],"category_scores_gemma":[0.00006574821,0.0004768788,0.0002007001,0.0004009491,0.00005762568,0.0001616208,0.000004461216,0.00086492,0.00006449225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007759319,"about_ca_system_score_gemma":0.00009423772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008944946,"about_ca_topic_score_gemma":0.00000400351,"domain_scores_codex":[0.9977371,0.0001540939,0.0003143409,0.0004411748,0.0003098446,0.00104352],"domain_scores_gemma":[0.9992182,0.0001753264,0.00007764514,0.0003532304,0.00003286049,0.0001427799],"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":[0.000007678694,0.00003436712,0.0002780981,0.00007666304,0.0000792805,0.00004420655,0.00009422385,0.02328811,0.9690586,0.005883039,0.0004904846,0.0006652246],"study_design_scores_gemma":[0.000710155,0.0001608606,0.00007511184,0.0001491678,0.00006815238,0.0000297851,0.00001220246,0.01356712,0.9814407,0.0009042554,0.002130206,0.0007522735],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1677211,0.0002302926,0.826965,0.0000163369,0.000181648,0.0008490043,0.000007151614,0.0005137728,0.003515705],"genre_scores_gemma":[0.9976133,0.00001444997,0.00006709649,0.001912444,0.00009664062,0.0001322808,0.00001372816,0.0001293248,0.00002078395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8298921,"threshold_uncertainty_score":0.9997683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088914001033509,"score_gpt":0.2057737545858385,"score_spread":0.1948846145755034,"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."}}