{"id":"W3014575727","doi":"10.1109/rtss46320.2019.00044","title":"CARP: A Data Communication Mechanism for Multi-core Mixed-Criticality Systems","year":2019,"lang":"en","type":"article","venue":"","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Criticality; Latency (audio); Communications protocol; Mixed criticality; Cache; Core (optical fiber); Distributed computing; Protocol (science); Cache coherence; Computer network; CPU cache; Telecommunications","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":[0.002401114,0.0009255599,0.0005437842,0.001329481,0.0008411947,0.001184344,0.003388933,0.0007655458,0.003453758],"category_scores_gemma":[0.005295798,0.0005635094,0.0004306466,0.0007518303,0.0009631422,0.001934815,0.002040809,0.001406028,0.0006422146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009294336,"about_ca_system_score_gemma":0.00187774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001124621,"about_ca_topic_score_gemma":0.001473024,"domain_scores_codex":[0.9984301,0.0003237388,0.0001457318,0.0002083466,0.0006586396,0.0002334878],"domain_scores_gemma":[0.9952133,0.00122237,0.0007859622,0.001364831,0.001100478,0.0003129817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00266618,0.0005696512,0.004898065,0.001952122,0.0003461828,0.001012545,0.0009294686,0.3294935,0.2072024,0.0717979,0.03003679,0.3490952],"study_design_scores_gemma":[0.0003049176,0.001648143,0.001064958,0.0001492861,0.0001660554,0.0006571045,0.0001074839,0.8232028,0.1158997,0.01339641,0.04318763,0.0002154777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07297375,0.001547218,0.9054667,0.000319413,0.0002574165,0.000466579,0.0002293916,0.0133386,0.005400843],"genre_scores_gemma":[0.8058024,0.0003313906,0.1884209,0.0002766728,0.0001614106,0.0005585804,0.0002675891,0.0006823894,0.003498657],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003453758,"threshold_uncertainty_score":0.01269847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1554523947675538,"score_gpt":0.3494063698481579,"score_spread":0.1939539750806042,"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."}}