{"id":"W2775260235","doi":"10.3390/jlpea7040031","title":"Analysis of Sensitivity and Power Consumption of Chopping Techniques for Integrated Capacitive Sensor Interface Circuits","year":2017,"lang":"en","type":"article","venue":"Journal of Low Power Electronics and Applications","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chopper; Capacitance; Sensitivity (control systems); Amplifier; Capacitive sensing; Electronic engineering; Electrical engineering; Electronic circuit; Operational amplifier; Noise (video); Computer science; Engineering; CMOS; Voltage; Physics","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":[0.0007506827,0.0009449346,0.0006467729,0.001327202,0.0003864097,0.0006311703,0.001076329,0.0007260221,0.001984057],"category_scores_gemma":[0.004285448,0.000475953,0.0005251054,0.001648194,0.0004021945,0.001335459,0.0003736029,0.000640959,0.0005421147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043529,"about_ca_system_score_gemma":0.0003189356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000795077,"about_ca_topic_score_gemma":0.001090213,"domain_scores_codex":[0.9984346,0.0002128456,0.00005123097,0.0002554824,0.0009113587,0.0001345315],"domain_scores_gemma":[0.9966874,0.002058741,0.0002621252,0.0002662221,0.0006891493,0.00003643782],"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":[0.001036178,0.0001501815,0.004985333,0.001117508,0.0002805104,0.0004761246,0.0004532679,0.05397238,0.7524526,0.003087161,0.0007739306,0.1812148],"study_design_scores_gemma":[0.00002989364,0.001652848,0.01273123,0.0001021921,0.0002342405,0.0009302639,0.0001542873,0.1647921,0.8092821,0.001797734,0.008220385,0.00007274545],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4684131,0.004855881,0.5149975,0.0003461658,0.0001253771,0.0003549003,0.0004764946,0.001567744,0.008862917],"genre_scores_gemma":[0.9333168,0.001378587,0.06190702,0.0001393964,0.00004225476,0.0001311121,0.0002877327,0.0001808072,0.002616115],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001984057,"threshold_uncertainty_score":0.00757134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007933240642867,"score_gpt":0.2883797550694986,"score_spread":0.2683004226630699,"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."}}