{"id":"W2255454767","doi":"10.1049/iet-cdt.2015.0056","title":"Evaluating fault tolerance on asymmetric multicore systems‐on‐chip using iso‐metrics","year":2015,"lang":"en","type":"article","venue":"IET Computers & Digital Techniques","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Seventh Framework Programme; European Commission; Queen's University; Ministerio de Economía y Competitividad; Federación Española de Enfermedades Raras; Engineering and Physical Sciences Research Council; Universidad Complutense de Madrid","keywords":"Emulation; Computer science; Multi-core processor; Embedded system; Fault tolerance; Frequency scaling; Implementation; Reliability (semiconductor); Energy consumption; Supercomputer; Reliability engineering; Power (physics); Distributed computing; Engineering; Parallel computing; Electrical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009918021,0.0005284268,0.0005582647,0.001267018,0.0002337733,0.001691249,0.00185524,0.0002235846,3.856341e-7],"category_scores_gemma":[0.00056453,0.00050438,0.0001805309,0.002589696,0.00008321897,0.001096359,0.0006089335,0.000438184,0.00003703541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004015599,"about_ca_system_score_gemma":0.00016271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003323497,"about_ca_topic_score_gemma":1.335311e-7,"domain_scores_codex":[0.9961658,0.0002047466,0.0007477137,0.001018354,0.001218325,0.0006451021],"domain_scores_gemma":[0.9968858,0.0005332826,0.0004549332,0.001170553,0.0006247167,0.0003307052],"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":[0.00008450951,0.0008317388,0.0008898908,0.00009820615,0.00007944526,0.0001186416,0.0007074747,0.4115128,0.0001438681,0.02266181,0.02504311,0.5378285],"study_design_scores_gemma":[0.0003907342,0.001218763,0.00004682212,0.0004040375,0.000007402197,0.000072175,0.00001475743,0.9897388,0.003710641,0.001352401,0.002412756,0.0006307345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01926202,0.0002204998,0.9678507,0.0001351623,0.0008632432,0.0007483839,0.00001268221,0.004306141,0.006601118],"genre_scores_gemma":[0.5994316,0.000009792885,0.3996843,0.0005337273,0.0001869139,0.00002895449,0.00001030013,0.0000398947,0.00007452228],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5801696,"threshold_uncertainty_score":0.9997408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1009477074361123,"score_gpt":0.3472739787204626,"score_spread":0.2463262712843503,"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."}}