{"id":"W1558936245","doi":"10.1007/0-306-47015-2_38","title":"An Efficient Transposition Algorithm for Distributed Memory Computers","year":2005,"lang":"en","type":"book-chapter","venue":"Kluwer Academic Publishers eBooks","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Parallel computing; Data exchange; Hypercube; Intel iPSC; Algorithm; Transposition (logic); Ethernet; Computer network","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":[0.0005374487,0.0007380269,0.0006754954,0.0006148237,0.0006515324,0.001014208,0.001620586,0.0006705422,0.01011242],"category_scores_gemma":[0.001975287,0.0003658391,0.0005410508,0.001436145,0.0004855562,0.001419629,0.001364455,0.001170642,0.005332393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005117559,"about_ca_system_score_gemma":0.0008552301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00122846,"about_ca_topic_score_gemma":0.001241187,"domain_scores_codex":[0.9994979,0.00009236141,0.00003775727,0.00005006473,0.0002801421,0.00004181458],"domain_scores_gemma":[0.9996285,0.0001000502,0.00001641413,0.0001093651,0.0001238264,0.00002178126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002086233,0.00009359104,0.0003899133,0.0002908259,0.0000500359,0.0002942198,0.0002064647,0.09700013,0.01853909,0.1858885,0.06594034,0.6310984],"study_design_scores_gemma":[0.0001973574,0.0001058299,0.0002023367,0.00004293681,0.00002300762,0.0002989681,0.00005238555,0.7244066,0.01265865,0.1182149,0.1437613,0.00003573618],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002930493,0.0002910488,0.9852083,0.0001858858,0.0002106983,0.0001110533,0.0001481135,0.003172542,0.007741886],"genre_scores_gemma":[0.03537824,0.0004425676,0.9478103,0.0001087644,0.00008820267,0.0004588016,0.0007222524,0.0008449673,0.01414597],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01011242,"threshold_uncertainty_score":0.03382945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723482872307918,"score_gpt":0.2518102786940013,"score_spread":0.2345754499709221,"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."}}