{"id":"W2047125538","doi":"10.1109/icecs.2013.6815547","title":"Efficient standard cell abutment checker","year":2013,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Redundancy (engineering); Computer science; Abutment; Swap (finance); Reliability engineering; Structural engineering; Engineering; Operating system","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":[0.0009938973,0.0006591288,0.0005947159,0.001277892,0.0005612037,0.001330947,0.002005929,0.0006415937,0.008021132],"category_scores_gemma":[0.004058883,0.0004633848,0.0005484931,0.0007531766,0.0005648564,0.001569574,0.0009963532,0.0006528398,0.001943994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007146866,"about_ca_system_score_gemma":0.002316425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003057891,"about_ca_topic_score_gemma":0.005346485,"domain_scores_codex":[0.9976215,0.0002886264,0.0001458495,0.0002387534,0.001449704,0.0002556313],"domain_scores_gemma":[0.9971339,0.001053456,0.0001958308,0.0006210027,0.0009462904,0.0000495869],"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":[0.0006851445,0.0003076586,0.004824363,0.0005711374,0.0001631717,0.0009746322,0.0001511295,0.1914528,0.203819,0.05784023,0.01620829,0.5230024],"study_design_scores_gemma":[0.0001531837,0.0002514,0.0009582599,0.00004433527,0.00009166029,0.0005687039,0.00004633817,0.6993061,0.2678715,0.01137181,0.01929706,0.00003960435],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05447916,0.0002523962,0.923873,0.0001049269,0.00008098486,0.0002091903,0.0005018496,0.01279633,0.00770212],"genre_scores_gemma":[0.5793414,0.0002232472,0.4086846,0.0002698565,0.0000355352,0.0002055009,0.001695822,0.0006921011,0.00885185],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008021132,"threshold_uncertainty_score":0.02683342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009733068682706802,"score_gpt":0.2026170013806663,"score_spread":0.1928839326979595,"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."}}