{"id":"W4226061753","doi":"10.1109/tcsii.2022.3174965","title":"Time-Domain and Frequency-Domain Mappings of Voltage-to-Charge and Charge-to-Voltage in Capacitive Devices","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits & Systems II Express Briefs","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Science Foundation","keywords":"Capacitive sensing; Frequency domain; Voltage; Charge (physics); Capacitance; Time domain; Physics; Fourier transform; Domain (mathematical analysis); Charge control; Electrical engineering; Computer science; Mathematics; Mathematical analysis; Engineering; Electrode; Power (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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007062895,0.0004430233,0.0007463971,0.0007574562,0.0004498495,0.00005684775,0.0003044829,0.0001475544,0.0001779377],"category_scores_gemma":[0.000008531084,0.0005249255,0.000103307,0.0007070426,0.0001092205,0.0002608802,0.000009231747,0.0005368521,0.00004364136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002467705,"about_ca_system_score_gemma":0.00005788999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007920942,"about_ca_topic_score_gemma":0.00007601754,"domain_scores_codex":[0.997305,0.0002027626,0.0007237861,0.0006515214,0.0005034845,0.0006134308],"domain_scores_gemma":[0.9988849,0.0001989336,0.0001113424,0.0003917049,0.00007235434,0.0003408123],"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":[0.00004241194,0.0001819998,0.0000914401,0.0006043428,0.0002319305,0.00009121869,0.02300854,0.01497535,0.9544545,0.00365069,0.0009929576,0.001674661],"study_design_scores_gemma":[0.04351889,0.01779763,0.009198397,0.01825436,0.00199732,0.005031262,0.1352153,0.03505599,0.4608327,0.01658824,0.2270747,0.02943513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4552186,0.0009992601,0.5386636,0.00001911399,0.0005633177,0.001358367,0.001016758,0.0002328957,0.001928085],"genre_scores_gemma":[0.9981747,0.00002883342,0.00003369951,0.0001476288,0.00006254754,0.000724223,0.00001043584,0.0001002495,0.000717662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5429562,"threshold_uncertainty_score":0.9997202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065881128094121,"score_gpt":0.1970793102695587,"score_spread":0.1864204989886175,"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."}}