{"id":"W2041576669","doi":"10.1007/s00034-004-0328-8","title":"A Novel Statistical Technique for the Estimation of DC Stability in Higher-Order Σ-Δ A/D Converters","year":2004,"lang":"en","type":"article","venue":"Circuits Systems and Signal Processing","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Golder Associates (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Converters; Stability (learning theory); SIGNAL (programming language); Gaussian; Control theory (sociology); Computer science; Series (stratigraphy); Mathematics; Algorithm; Engineering; Artificial intelligence; Voltage","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005000612,0.0001449632,0.0002668807,0.00006707248,0.00008910206,0.00005450292,0.00008894678,0.0001006088,0.000006200284],"category_scores_gemma":[0.00002907898,0.0001139704,0.00002630135,0.0001897104,0.0001057271,0.0001481447,0.000006297091,0.0001327781,5.49942e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008572391,"about_ca_system_score_gemma":0.00008788415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000102575,"about_ca_topic_score_gemma":0.000007496876,"domain_scores_codex":[0.9990486,0.00002072746,0.0003866757,0.0001820085,0.00014501,0.0002169836],"domain_scores_gemma":[0.9994928,0.000203569,0.00006717647,0.00009237004,0.00009218304,0.00005186905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003176387,0.0001624008,0.0003613827,0.007459244,0.00009336348,0.000007896249,0.002281046,0.313212,0.4967595,0.07156224,0.00004952947,0.1080196],"study_design_scores_gemma":[0.005358043,0.000468947,0.004063597,0.003076105,0.0002467463,0.0001649052,0.002730103,0.9020841,0.0503316,0.02977811,0.000339664,0.001358086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003454219,0.001616545,0.9936579,0.000008814833,0.00007865878,0.0008565502,0.00003182475,0.00005686497,0.0002386157],"genre_scores_gemma":[0.9992521,0.000005730056,0.0003662338,0.00001474199,0.00003768077,0.0002862728,0.000007285035,0.00002312735,0.000006833488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9957979,"threshold_uncertainty_score":0.4647577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03482412963570871,"score_gpt":0.2433789162756818,"score_spread":0.2085547866399731,"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."}}