{"id":"W2155142975","doi":"10.5555/1870926.1871361","title":"Reliability- and process variation-aware placement for FPGAs","year":2010,"lang":"en","type":"article","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of British Columbia","funders":"","keywords":"Field-programmable gate array; Negative-bias temperature instability; Overhead (engineering); Reliability (semiconductor); Computer science; Process variation; Degradation (telecommunications); Embedded system; Reliability engineering; Process (computing); Virtex; Voltage; Threshold voltage; Transistor; Engineering; Electrical engineering; Power (physics)","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":[0.0003434308,0.0006035359,0.0002887947,0.0006342413,0.000225264,0.000325822,0.0004468818,0.0002557305,0.0007171862],"category_scores_gemma":[0.001384006,0.0002467871,0.0003376163,0.0004604417,0.0001913185,0.0002781322,0.0002724212,0.0002850463,0.000228099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003757105,"about_ca_system_score_gemma":0.0004255041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001366718,"about_ca_topic_score_gemma":0.002501945,"domain_scores_codex":[0.9996296,0.00009901604,0.00001970932,0.00006849515,0.0001467012,0.00003647561],"domain_scores_gemma":[0.9992726,0.0002300437,0.0001733316,0.0001442661,0.0001637604,0.00001592762],"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":[0.0002803162,0.0000626907,0.004480709,0.0001286962,0.00007996324,0.0001605445,0.00006668129,0.6230711,0.1477806,0.001927571,0.000868396,0.2210928],"study_design_scores_gemma":[0.00001838063,0.0002328964,0.003081417,0.000008467732,0.00002755226,0.0001653972,0.00001653277,0.9464957,0.04781765,0.001041841,0.001077836,0.0000161909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2257621,0.0006784414,0.7694097,0.00008223766,0.00004299867,0.00004551069,0.0000847415,0.00232919,0.001565004],"genre_scores_gemma":[0.8223129,0.0001223535,0.1765733,0.00001789651,0.00001971105,0.00003025933,0.00008419192,0.0001042063,0.0007351714],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001366718,"threshold_uncertainty_score":0.002726018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004612531861634925,"score_gpt":0.2148395151868494,"score_spread":0.2102269833252144,"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."}}