{"id":"W2146701410","doi":"10.1109/iccd.1988.25762","title":"A self-reconfiguration scheme for fault-tolerant VLSI processor arrays","year":2003,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Control reconfiguration; Very-large-scale integration; Computer science; Interconnection; Overhead (engineering); Modular design; Parallel computing; Fault tolerance; Scheme (mathematics); Embedded system; Process (computing); Application-specific integrated circuit; Computer hardware; Distributed computing; Computer network; Mathematics","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":[0.0001226189,0.0001987832,0.0001614023,0.0003279583,0.0003663604,0.0003045825,0.0005480241,0.0002583727,0.002092775],"category_scores_gemma":[0.0003293046,0.0001077163,0.0001584204,0.0002716665,0.0002530273,0.0006810764,0.0003916395,0.0002482228,0.0003684159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003371343,"about_ca_system_score_gemma":0.0001368012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003754636,"about_ca_topic_score_gemma":0.0007680283,"domain_scores_codex":[0.9998971,0.00002341765,0.000008733428,0.00001978808,0.0000365151,0.00001446122],"domain_scores_gemma":[0.999835,0.00003222304,0.00002375382,0.00005679626,0.00003730826,0.00001492798],"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":[0.0003647114,0.00008872863,0.0005738909,0.0002457467,0.00004810104,0.000403032,0.0003514882,0.15271,0.2978298,0.08197463,0.007785716,0.4576241],"study_design_scores_gemma":[0.00008010807,0.000485915,0.0007710953,0.00002975687,0.00004717847,0.0006465963,0.00005420895,0.8302237,0.09486482,0.03609036,0.03665511,0.00005124633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09791334,0.0007307529,0.8869767,0.0002247506,0.0001464955,0.00005941684,0.00007776765,0.00260532,0.01126545],"genre_scores_gemma":[0.8047189,0.0003825399,0.1835316,0.000123594,0.00007155139,0.0001018098,0.0001761251,0.0001344354,0.01075945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002092775,"threshold_uncertainty_score":0.007001042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675548256573246,"score_gpt":0.239596925450195,"score_spread":0.2228414428844626,"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."}}