{"id":"W3146588964","doi":"10.1109/ipdps.2006.1639497","title":"Towards MPI progression layer elimination with TCP and SCTP","year":2006,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stream Control Transmission Protocol; Computer science; Scalability; Component (thermodynamics); Transport layer; Computer network; Distributed computing; Protocol stack; Transmission Control Protocol; Middleware (distributed applications); Layer (electronics); Application layer; Operating system","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":[0.003017334,0.001074635,0.0008845243,0.001203866,0.001414788,0.002500508,0.00280654,0.001377788,0.002510626],"category_scores_gemma":[0.00665751,0.001132926,0.001131066,0.001431017,0.001865864,0.004061669,0.003263669,0.006440116,0.001694224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001085645,"about_ca_system_score_gemma":0.003021283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003178527,"about_ca_topic_score_gemma":0.002437761,"domain_scores_codex":[0.9969388,0.0005178483,0.0001431376,0.0002310219,0.001839228,0.0003300247],"domain_scores_gemma":[0.9959246,0.0005773067,0.0002620688,0.001325466,0.001668563,0.0002420409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009247069,0.0004269559,0.004551015,0.0009583498,0.0002459488,0.001138768,0.001531625,0.08576392,0.1211339,0.4219347,0.03437285,0.3270173],"study_design_scores_gemma":[0.00024254,0.0002860003,0.0008999661,0.0001992839,0.0001727874,0.0007207568,0.0002780817,0.594485,0.1172653,0.1322654,0.1530385,0.0001463471],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01765005,0.0005669582,0.9697788,0.001202981,0.0002343662,0.0000954342,0.00004459626,0.003170225,0.007256532],"genre_scores_gemma":[0.2002252,0.001050462,0.7837505,0.0006529575,0.0003710642,0.0003589932,0.0003072259,0.001526569,0.01175704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003178527,"threshold_uncertainty_score":0.01595742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066121084432584,"score_gpt":0.2630302300949419,"score_spread":0.252369019250616,"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."}}