{"id":"W2028134505","doi":"10.1109/icecs.2014.7050089","title":"A low-power Wilkinson-type ADC for CdZnTe detectors in 0.13μm CMOS","year":2014,"lang":"en","type":"article","venue":"","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"CMOS; Cadmium zinc telluride; Effective number of bits; Dynamic range; Physics; Electrical engineering; Least significant bit; Detector; Analog-to-digital converter; Electronic engineering; Computer science; Engineering; Optoelectronics; Optics","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":[0.0003123831,0.0004580013,0.0003410119,0.0005137121,0.0004165672,0.0009391155,0.001213818,0.0005264171,0.003579697],"category_scores_gemma":[0.00063985,0.0002534643,0.0002390419,0.0004561713,0.0002646269,0.0009049329,0.0002525055,0.0003905307,0.001500564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007655939,"about_ca_system_score_gemma":0.0005624233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008388446,"about_ca_topic_score_gemma":0.002084861,"domain_scores_codex":[0.9996058,0.00004326433,0.00002259036,0.00009814117,0.0001990955,0.00003103096],"domain_scores_gemma":[0.9997273,0.00005899374,0.00004527692,0.00002650228,0.0001212358,0.00002073741],"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":[0.0004719316,0.00009700971,0.001655549,0.0005489952,0.00008194269,0.0004888071,0.0001928486,0.004855574,0.7177553,0.008743168,0.005487811,0.2596211],"study_design_scores_gemma":[0.0001106783,0.0007556143,0.002355289,0.00006437732,0.0001699159,0.003014265,0.00006737042,0.0523069,0.8553455,0.000914766,0.08482109,0.00007433383],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08387633,0.002496044,0.8838062,0.0006294932,0.0003967369,0.0003350775,0.000386746,0.006356931,0.02171648],"genre_scores_gemma":[0.5926321,0.001210824,0.3818377,0.0004921197,0.0001470286,0.0001125403,0.0003247047,0.000194511,0.02304854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003579697,"threshold_uncertainty_score":0.01197529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006773182397066117,"score_gpt":0.2079550540351727,"score_spread":0.2011818716381066,"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."}}