{"id":"W2128290386","doi":"10.1109/ipps.1992.222969","title":"The odd-even expansion storage scheme and its implementation issues","year":2003,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Scheme (mathematics); Computer science; Routing (electronic design automation); Simple (philosophy); Hypercube; Diagonal; Realization (probability); Power of two; Constant (computer programming); Row and column spaces; Row; Cover (algebra); Parallel computing; Algorithm; 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":[0.0004313719,0.0002927286,0.0002935995,0.000364285,0.0006121738,0.0011906,0.001301982,0.0003292465,0.00648249],"category_scores_gemma":[0.0009997787,0.0002734718,0.0002082577,0.0007652343,0.0006825114,0.003053797,0.0008414196,0.0005153782,0.00141346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006947407,"about_ca_system_score_gemma":0.0009158197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001449676,"about_ca_topic_score_gemma":0.00126991,"domain_scores_codex":[0.9996743,0.00006967724,0.0000326978,0.00004687649,0.0001077359,0.00006872186],"domain_scores_gemma":[0.9994535,0.00008304998,0.00003311389,0.0002861632,0.0001210771,0.00002313519],"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":[0.0005173964,0.00009213878,0.0009027238,0.000243604,0.00002207134,0.0001975199,0.0004459072,0.01696998,0.0503062,0.5140494,0.009948092,0.406305],"study_design_scores_gemma":[0.0001749866,0.000431606,0.001087894,0.0001073221,0.00005130409,0.001265069,0.0004310879,0.2990799,0.2012815,0.2941305,0.201843,0.0001159187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07453971,0.0009521307,0.8861605,0.001192469,0.0003256079,0.0001614288,0.0001690585,0.001915933,0.03458317],"genre_scores_gemma":[0.4840523,0.0009428731,0.485083,0.0003359067,0.0001423298,0.0002351535,0.0002760315,0.0002477924,0.02868451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00648249,"threshold_uncertainty_score":0.02168608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913825453191171,"score_gpt":0.2913215435581634,"score_spread":0.2721832890262517,"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."}}