{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00007649175,0.0001831554,0.0001821614,0.0001102913,0.0001372617,0.001269789,0.0007494653,0.00004691993,0.00002038834],"category_scores_gemma":[0.0008765258,0.000160107,0.00008547216,0.0006455082,0.0000188471,0.001275409,0.0001789413,0.00008451881,0.0002128325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002580262,"about_ca_system_score_gemma":0.00003856735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001361771,"about_ca_topic_score_gemma":7.254367e-7,"domain_scores_codex":[0.9985406,0.000003969477,0.0002505462,0.0005258954,0.0002005288,0.0004785004],"domain_scores_gemma":[0.9986544,0.0005191377,0.00005642644,0.0003641747,0.0001046038,0.0003012455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[9.047526e-8,0.00008852894,0.01560166,0.00001261005,0.00000943073,0.000007012346,0.000210396,0.00004728858,0.0001523037,0.001717687,0.01197446,0.9701785],"study_design_scores_gemma":[0.0004843701,0.0002996658,0.001040043,0.00002435585,0.000005516387,0.0001255407,0.00004627787,0.9932433,0.00008643716,0.001200802,0.002984327,0.0004593624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004502733,0.00001972562,0.8878545,0.0002997905,0.00005647836,0.0002083426,0.000009128112,0.0004257026,0.110676],"genre_scores_gemma":[0.8940529,1.204942e-7,0.09969377,0.0006765894,0.0001992664,0.0000133965,0.000006109276,0.00001560983,0.005342236],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.993196,"threshold_uncertainty_score":0.999767,"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."}}