{"id":"W2153909440","doi":"10.1109/tcsii.2002.801207","title":"A 1.2-V n-p-n-only integrator for log-domain filtering","year":2002,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Integrator; Integrating ADC; Cutoff frequency; Passive integrator circuit; Biasing; BiCMOS; PMOS logic; Bipolar junction transistor; Chebyshev filter; Op amp integrator; Physics; Electrical engineering; Voltage; Transistor; Analogue filter; Electronic engineering; Filter (signal processing); Materials science; Engineering; Operational amplifier; CMOS; Capacitor; RC circuit; Amplifier","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":[0.0001580957,0.0003373472,0.0004028665,0.000203748,0.0006383539,0.0005263202,0.00009312759,0.000160177,0.00001696194],"category_scores_gemma":[0.000004072987,0.0003070927,0.000107842,0.0002082665,0.00009533552,0.0005734716,0.000001439984,0.0002625558,0.000006646135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005135469,"about_ca_system_score_gemma":0.00002024806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008027158,"about_ca_topic_score_gemma":0.000005701685,"domain_scores_codex":[0.998578,0.00002345977,0.0004073138,0.0003796026,0.000185663,0.0004260265],"domain_scores_gemma":[0.9994188,0.0001110312,0.00005871179,0.00009714034,0.00007487807,0.0002394301],"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":[0.00001768198,0.0001360701,0.00004790551,0.00102037,0.0001679519,0.00002557722,0.001392284,0.009663137,0.007739974,0.001574965,0.0003479577,0.9778661],"study_design_scores_gemma":[0.005529873,0.003369235,0.00008203941,0.003030183,0.000481825,0.002118739,0.006551144,0.9331998,0.004120569,0.007640278,0.02970672,0.004169562],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02373281,0.003504633,0.9677835,0.000006484443,0.0001797758,0.0003117165,0.00009770181,0.0002962257,0.004087145],"genre_scores_gemma":[0.9986662,0.0001046136,0.00001163503,0.00003528121,0.0001180753,0.00007162756,0.00000629958,0.00005740747,0.0009288179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9749334,"threshold_uncertainty_score":0.9999381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02436930848883416,"score_gpt":0.2074184231081614,"score_spread":0.1830491146193272,"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."}}