{"id":"W2093923760","doi":"10.1109/iscas.2012.6271416","title":"Bidirectional current conveyer with chopper stabilization and dynamic element matching","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Chopper; Current mirror; Flicker noise; Interfacing; Dynamic range; Current (fluid); Electronic engineering; Bandwidth (computing); Current conveyor; Current sensor; Noise (video); Transistor; Flicker; Electrical engineering; CMOS; Computer science; Voltage; Engineering; Capacitor; Computer hardware; Noise figure; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0000472479,0.00006474645,0.00004701069,0.00002237544,0.00004501814,0.000008321817,0.00001392563,0.000009906419,0.00005158289],"category_scores_gemma":[0.000001588349,0.00005081086,0.000006483987,0.00004429653,0.000007450089,0.0001784254,0.00001059199,0.00006139903,0.000004381497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000284813,"about_ca_system_score_gemma":0.000001918735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.103605e-7,"about_ca_topic_score_gemma":0.000003206343,"domain_scores_codex":[0.9996898,0.000006005816,0.00006558825,0.00006119554,0.00004887447,0.0001285488],"domain_scores_gemma":[0.999883,0.00001781823,0.000008635014,0.00003860692,0.00000927508,0.00004265453],"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":[0.00005528362,0.0001836001,0.1251898,0.0006895317,0.0001179672,0.00000129183,0.003006649,0.3108476,0.161496,0.01411268,0.000239888,0.3840596],"study_design_scores_gemma":[0.003854121,0.0002658585,0.130958,0.0004780427,0.0001262393,0.0001503271,0.00146765,0.6216015,0.167174,0.003325582,0.06786443,0.002734213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7815149,0.0005113597,0.2170364,0.00000917678,0.0002212427,0.00006186691,8.624968e-7,0.0001476941,0.0004964249],"genre_scores_gemma":[0.9983281,0.00004849716,0.001505196,0.0000132488,0.00005020824,0.000004429889,0.000005109062,0.00001100052,0.00003420658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3813254,"threshold_uncertainty_score":0.2072007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037865400518024,"score_gpt":0.2430061753888992,"score_spread":0.232627521383719,"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."}}