{"id":"W3170406947","doi":"10.1109/vts50974.2021.9441043","title":"Automated Observability Analysis for Mixed-Signal Circuits","year":2021,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Siemens (Canada)","funders":"","keywords":"Observability; Computer science; Mixed-signal integrated circuit; Benchmark (surveying); Analogue electronics; Electronic circuit; Automatic test pattern generation; Built-in self-test; Digital electronics; Design for testing; Electronic engineering; Integrated circuit; Computer engineering; Computer hardware; Embedded system; Reliability engineering; Testability; Engineering; Mathematics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0003909843,0.0001118048,0.0002414075,0.00008710193,0.0001623723,0.0002014875,0.0004895091,0.00005334305,0.00007910252],"category_scores_gemma":[0.0002177052,0.0001052051,0.0002616464,0.001841394,0.00001940197,0.0002787566,0.0001207796,0.00006010881,0.00002077084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003506056,"about_ca_system_score_gemma":0.0001548533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003168094,"about_ca_topic_score_gemma":0.00009355603,"domain_scores_codex":[0.9986375,0.00007205928,0.0002599331,0.0005255236,0.0001935789,0.0003114069],"domain_scores_gemma":[0.998633,0.0003286354,0.00006000682,0.0005510295,0.0003188573,0.0001084731],"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":[1.809705e-7,0.0004722407,0.2750861,0.000123847,0.001198732,0.0001136173,0.0005465497,0.006519843,0.01917775,0.06954513,0.004122721,0.6230933],"study_design_scores_gemma":[0.0001760547,0.00001991959,0.1170027,0.000005432157,0.00008924161,0.00000965365,0.00002759309,0.8737244,0.006119689,0.00220549,0.0004315378,0.0001882741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0493294,0.00005976142,0.9464421,0.0003946747,0.0001224346,0.00007626672,0.000005516858,0.001092701,0.002477111],"genre_scores_gemma":[0.9891649,8.260625e-7,0.009947136,0.0004049866,0.00003989721,0.00001488444,0.00002013032,0.000004946298,0.000402314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9398355,"threshold_uncertainty_score":0.4290138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04665535760383147,"score_gpt":0.2734655384009638,"score_spread":0.2268101807971323,"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."}}