{"id":"W3155265770","doi":"10.1109/tbcas.2021.3075348","title":"Wide Input Dynamic Range Fully Integrated Capacitive Sensor for Life Science Applications","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Circuits and Systems","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Capacitance; Capacitive sensing; CMOS; Cascode; Capacitor; Materials science; Optoelectronics; Electrical engineering; Dynamic range; Electronic circuit; Current mirror; Electronic engineering; Differential capacitance; Parasitic capacitance; Transistor; Voltage; Amplifier; Engineering; Electrode; 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":[0.000269238,0.0006191151,0.0005264949,0.0004000651,0.0001780332,0.0005978502,0.0009885017,0.0007368192,0.001275855],"category_scores_gemma":[0.000594706,0.0003048689,0.0003075753,0.0004218308,0.000217952,0.001017914,0.0006182324,0.0005746509,0.000500939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003442055,"about_ca_system_score_gemma":0.0003084386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002731216,"about_ca_topic_score_gemma":0.0006339073,"domain_scores_codex":[0.9992608,0.00006465182,0.00003085303,0.0002051058,0.0003873416,0.00005118591],"domain_scores_gemma":[0.9995936,0.0001116603,0.00006501891,0.00003817759,0.0001620086,0.00002951458],"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":[0.0000537927,0.00001892387,0.0001747271,0.0001514127,0.00001126188,0.00004065895,0.00001938195,0.0004323386,0.9693619,0.0004703821,0.0004528724,0.02881233],"study_design_scores_gemma":[0.00002743977,0.0005361516,0.001858305,0.00002508212,0.00005918015,0.0007497737,0.00002806302,0.02304441,0.9506227,0.0004492888,0.02252216,0.00007743232],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1841795,0.01936825,0.7795113,0.0007605659,0.0008425476,0.0002021921,0.001318304,0.003963666,0.009853644],"genre_scores_gemma":[0.6302909,0.003539352,0.3575456,0.001024967,0.0003924891,0.0001740488,0.0008216986,0.0001722574,0.006038633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001275855,"threshold_uncertainty_score":0.004268229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01873951753393469,"score_gpt":0.2505425009666456,"score_spread":0.2318029834327109,"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."}}