{"id":"W2885627084","doi":"","title":"RaMP: A Lightweight {RDMA} Abstraction for Loosely Coupled Applications","year":2018,"lang":"en","type":"article","venue":"IEEE International Conference on Cloud Computing Technology and Science","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Remote direct memory access; Computer science; Abstraction; Operating system; Programming language; Computer architecture","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005226342,0.0001914149,0.0001751363,0.0008617213,0.0007930226,0.0002680296,0.003078605,0.0001717775,0.000007020147],"category_scores_gemma":[0.0002902785,0.0001817647,0.00003141716,0.001239506,0.001973877,0.0005290907,0.0005340915,0.0003025816,0.00005722446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001116582,"about_ca_system_score_gemma":0.0001788598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003883432,"about_ca_topic_score_gemma":0.000006024845,"domain_scores_codex":[0.9979967,0.0000100043,0.0003008372,0.0009207119,0.0003692232,0.0004024741],"domain_scores_gemma":[0.9979892,0.0001604253,0.0002493886,0.0007286423,0.0008045381,0.00006775177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001086513,0.0000444208,0.00005417659,0.000003139297,0.000008165975,0.000002148373,0.00005129701,0.00002098895,0.02108805,0.9025515,0.0001225042,0.07604274],"study_design_scores_gemma":[0.0004301479,0.000381843,0.0002246227,0.00005845574,0.000004804198,0.00008153405,0.00009650393,0.4423069,0.06902163,0.4801916,0.006872718,0.0003292127],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06091831,0.00002217432,0.9277591,0.006845492,0.001366684,0.0003658866,0.000009770288,0.001047874,0.001664697],"genre_scores_gemma":[0.8631906,0.00002059293,0.1362365,0.0002178528,0.0001771174,0.00006728473,0.000002569155,0.000006361141,0.00008114209],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8022723,"threshold_uncertainty_score":0.741215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04702370220814162,"score_gpt":0.3385665546738617,"score_spread":0.29154285246572,"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."}}