{"id":"W2781492707","doi":"10.1109/jrfid.2018.2790360","title":"An Ultra Low-Voltage Low-Power Capacitance-to-Digital Converter for Wirelessly Powered Intraocular Pressure Sensor","year":2017,"lang":"en","type":"article","venue":"IEEE Journal of Radio Frequency Identification","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Centers for Disease Control and Prevention; CMC Microsystems","keywords":"Electrical engineering; Amplifier; Capacitive sensing; Low voltage; Subthreshold conduction; Voltage; Low-power electronics; Capacitance; Power (physics); Engineering; Materials science; Electronic engineering; CMOS; Power consumption; Physics; Transistor; Electrode","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":[0.0002174915,0.000291599,0.0002753371,0.0003902598,0.0003152367,0.0008008101,0.001072359,0.0005469525,0.002592133],"category_scores_gemma":[0.0006447103,0.0001854988,0.0001820831,0.000358825,0.0001928826,0.0006927731,0.0003077351,0.0004856486,0.000790625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003742119,"about_ca_system_score_gemma":0.0004433065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004871234,"about_ca_topic_score_gemma":0.001179392,"domain_scores_codex":[0.9995217,0.00003957407,0.00002369799,0.00009107189,0.0002859904,0.00003795449],"domain_scores_gemma":[0.9996905,0.00008491344,0.0000427704,0.00002592761,0.0001336573,0.00002218573],"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":[0.0001478619,0.0001082323,0.001215343,0.0003617278,0.00003444123,0.0003874047,0.0001124491,0.0009034899,0.8375196,0.002752664,0.002786892,0.1536699],"study_design_scores_gemma":[0.00006959158,0.001123603,0.003537814,0.00006865197,0.00009732061,0.003602929,0.00009044517,0.04337162,0.8904263,0.0007667798,0.05676823,0.00007670216],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1651036,0.003856235,0.804233,0.001060532,0.0007959181,0.0004839363,0.0005073312,0.003208229,0.02075117],"genre_scores_gemma":[0.8174298,0.001221803,0.1707097,0.0006794877,0.0002174022,0.0001215014,0.0001796901,0.0001056638,0.00933486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002592133,"threshold_uncertainty_score":0.008671582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009155404073225933,"score_gpt":0.2336109362732948,"score_spread":0.2244555322000689,"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."}}