{"id":"W2547356909","doi":"10.1109/newcas.2016.7604822","title":"Ultra-high sensitivity, low-power dual chopper signal conditioning circuit for integrated sensors","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Capacitive sensing; Chopper; Electrical engineering; Signal conditioning; Capacitance; CMOS; Sensitivity (control systems); Amplifier; Transducer; Electronic engineering; Materials science; Voltage; Power (physics); Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002547977,0.0005809463,0.0004279202,0.0003967319,0.0003283397,0.0005735696,0.001601114,0.0006241933,0.003461199],"category_scores_gemma":[0.0006895748,0.0003483141,0.000177996,0.0004200527,0.0002399571,0.0006353417,0.0004288772,0.0005776192,0.001013165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005105975,"about_ca_system_score_gemma":0.0004026823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003963377,"about_ca_topic_score_gemma":0.0008778178,"domain_scores_codex":[0.9996221,0.00002595983,0.00001471491,0.00009538104,0.0002071439,0.0000347056],"domain_scores_gemma":[0.9996502,0.00007819958,0.00003339606,0.00003455443,0.0001723589,0.00003136923],"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":[0.00008134794,0.00003405697,0.0002734466,0.0002226566,0.00001746058,0.00009484254,0.00003744538,0.0007067558,0.9420146,0.001770574,0.001833927,0.05291294],"study_design_scores_gemma":[0.00005419457,0.0006431874,0.001914641,0.0000461094,0.00007481432,0.001614298,0.00002843108,0.03958153,0.9228185,0.000875491,0.03229805,0.00005063248],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09532782,0.00319451,0.8865251,0.0005437049,0.000365005,0.000270555,0.0005056207,0.005211139,0.008056586],"genre_scores_gemma":[0.6056187,0.0009146823,0.3839862,0.0008861225,0.0002293448,0.0002281994,0.0004178187,0.0001885963,0.007530306],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003461199,"threshold_uncertainty_score":0.01157892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009664114471800175,"score_gpt":0.2131285013884949,"score_spread":0.2034643869166947,"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."}}