{"id":"W2129931673","doi":"10.1109/vtest.1996.510836","title":"A new digital test approach for analog-to-digital converter testing","year":2002,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Built-in self-test; Converters; CMOS; Electronic engineering; Overhead (engineering); Digital-to-analog converter; Computer science; Offset (computer science); Analog-to-digital converter; Computer hardware; Engineering; Voltage; Electrical engineering","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":[0.0002707021,0.0004534536,0.0003629779,0.0008146341,0.0003121721,0.0008371123,0.001053246,0.0005759529,0.002952283],"category_scores_gemma":[0.001280362,0.0001719435,0.000338926,0.0004999657,0.0007800931,0.001303657,0.0007001748,0.0006293386,0.0006492129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004026733,"about_ca_system_score_gemma":0.0004679213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003549535,"about_ca_topic_score_gemma":0.0004992235,"domain_scores_codex":[0.9993063,0.000147155,0.00005283741,0.00009927415,0.0003561836,0.00003820292],"domain_scores_gemma":[0.9991002,0.0003394242,0.00006810139,0.0001647841,0.0002910239,0.00003648951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002468301,0.000138142,0.001987641,0.0006498975,0.00008441955,0.0006316407,0.0001580788,0.01586083,0.2127397,0.07379609,0.004272226,0.6894344],"study_design_scores_gemma":[0.000145505,0.002339013,0.002823784,0.0002049358,0.0002321427,0.008687829,0.0001283264,0.3392237,0.429793,0.05268954,0.1635808,0.0001513912],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009161989,0.0009587508,0.9791952,0.0001912994,0.0002053751,0.0001066434,0.00006762199,0.001514803,0.008598271],"genre_scores_gemma":[0.3997373,0.001174633,0.5865958,0.001269042,0.0002897346,0.000252841,0.0003514541,0.0001691834,0.01015995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002952283,"threshold_uncertainty_score":0.00987637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05276299631577356,"score_gpt":0.2210827623359455,"score_spread":0.168319766020172,"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."}}