{"id":"W4233255510","doi":"10.7873/date.2015.0970","title":"Minimizing the Number of Process Corner Simulations during Design Verification","year":2015,"lang":"en","type":"article","venue":"Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE), 2015","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Process corners; Process (computing); Transistor; Computer science; Key (lock); Function (biology); Voltage; Range (aeronautics); Integrated circuit; Electronic engineering; Mathematical optimization; Computer engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001561108,0.001202291,0.001018481,0.0005350345,0.0004461437,0.0006138076,0.001176424,0.0008770858,0.002510219],"category_scores_gemma":[0.01262307,0.0009479992,0.0009265896,0.0003411885,0.0006618557,0.001292629,0.0008980583,0.00130996,0.0006032001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009325293,"about_ca_system_score_gemma":0.002065547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002999964,"about_ca_topic_score_gemma":0.004502749,"domain_scores_codex":[0.9982809,0.0008218978,0.00006899243,0.0002201308,0.0004395025,0.0001685657],"domain_scores_gemma":[0.9892764,0.008463439,0.0006247143,0.0008626617,0.0006303993,0.0001424441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001732712,0.00004444428,0.001136213,0.00007581477,0.00004167,0.00006405223,0.00006113328,0.9582845,0.009446019,0.002339005,0.0003888593,0.02794497],"study_design_scores_gemma":[0.00001362872,0.00004531447,0.0001408024,0.000007757926,0.00001091416,0.00001659014,0.00001109975,0.994001,0.003763738,0.001642672,0.0003423103,0.000004169613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08195737,0.0002082584,0.9134054,0.0002379464,0.00002144432,0.00009661006,0.00007727648,0.001396153,0.002599603],"genre_scores_gemma":[0.6952867,0.0001537193,0.3017106,0.0001297472,0.00001742766,0.0002202971,0.0002620466,0.0004748581,0.00174467],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002999964,"threshold_uncertainty_score":0.00839752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08695593336660833,"score_gpt":0.2975296831639558,"score_spread":0.2105737497973475,"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."}}