{"id":"W2146111009","doi":"10.1109/snpd-sawn.2006.70","title":"The global fault-tolerance of interconnection networks","year":2006,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Hypercube; Interconnection; De Bruijn graph; Computer science; Fault tolerance; De Bruijn sequence; Metric (unit); Theoretical computer science; Graph theory; Graph; Distributed computing; Topology (electrical circuits); Mathematics; Discrete mathematics; Parallel computing; Combinatorics; Computer network; 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":[0.0008062507,0.0007091244,0.0009081051,0.0008371841,0.0005969788,0.001606106,0.0008921237,0.0008226293,0.001805537],"category_scores_gemma":[0.00296162,0.0002099183,0.0005391075,0.00120619,0.001563476,0.003331827,0.001442644,0.0009956107,0.0002473946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007264238,"about_ca_system_score_gemma":0.0004355822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004287166,"about_ca_topic_score_gemma":0.0003073909,"domain_scores_codex":[0.9990001,0.0002165783,0.00005543297,0.0002301471,0.0003447511,0.0001529535],"domain_scores_gemma":[0.9984714,0.0004782628,0.0002980529,0.0003739771,0.0002908735,0.00008734756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000242587,0.00003324606,0.003329483,0.0008497528,0.0001647246,0.0002689263,0.000426627,0.3437927,0.02588721,0.4485594,0.002192175,0.1742532],"study_design_scores_gemma":[0.00003796781,0.0007356379,0.003999251,0.0002372694,0.0002350591,0.001111728,0.0005281934,0.3380797,0.04517493,0.5641489,0.04562447,0.00008682013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1238494,0.004490719,0.8591164,0.0007177193,0.0001873425,0.00004719841,0.0001759239,0.000399569,0.01101557],"genre_scores_gemma":[0.9374316,0.00242791,0.05692532,0.0001251917,0.0001300714,0.00007816564,0.0001922791,0.0001169154,0.00257253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001805537,"threshold_uncertainty_score":0.006040156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005124988931339464,"score_gpt":0.2106729957433865,"score_spread":0.205548006812047,"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."}}