{"id":"W2089395619","doi":"10.1049/joe.2014.0137","title":"23 µW 8.9‐effective number of bit 1.1 MS/s successive approximation register analog‐to‐digital converter with an energy‐efficient digital‐to‐analog converter switching scheme","year":2014,"lang":"en","type":"article","venue":"The Journal of Engineering","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Capacitor; Effective number of bits; Successive approximation ADC; Electronic engineering; Figure of merit; Energy (signal processing); Computer science; Electrical engineering; CMOS; Physics; Engineering; Voltage","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":[0.0001508737,0.0003481114,0.0002333137,0.0004445591,0.0002717338,0.0005435987,0.0008513985,0.0002812138,0.01017819],"category_scores_gemma":[0.0003932369,0.0001525938,0.0001763166,0.0003680421,0.0001478365,0.0006320266,0.000176383,0.0002669043,0.001454709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003765723,"about_ca_system_score_gemma":0.0003579478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006229639,"about_ca_topic_score_gemma":0.001561225,"domain_scores_codex":[0.9997467,0.00003091794,0.00001944763,0.0000498118,0.000118172,0.00003485359],"domain_scores_gemma":[0.9998416,0.00003943616,0.00002691545,0.00003340054,0.00004929953,0.000009285031],"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":[0.0006667705,0.0001904881,0.001107217,0.000239188,0.00004478725,0.0003158987,0.0001216486,0.004432973,0.615411,0.01223766,0.002763693,0.3624687],"study_design_scores_gemma":[0.0001267508,0.001299062,0.00428773,0.00004675398,0.0001413776,0.002270458,0.0000961093,0.09133064,0.847599,0.002366603,0.05036899,0.00006662384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5179681,0.002243312,0.4039687,0.0005680062,0.0004686892,0.0002773185,0.0005243716,0.006489102,0.0674923],"genre_scores_gemma":[0.9070928,0.0002292694,0.0774793,0.000127801,0.00005804882,0.00005448192,0.0002054723,0.00006347655,0.01468935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01017819,"threshold_uncertainty_score":0.03404939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005202311807846923,"score_gpt":0.1948160218844418,"score_spread":0.1896137100765949,"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."}}