{"id":"W2091907331","doi":"10.1145/2818950.2818974","title":"HpMC","year":2015,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"European Commission; Lawrence Livermore National Laboratory; U.S. Department of Energy; Advanced Micro Devices; National Science Foundation","keywords":"Computer science; Dram; Embedded system; Memory controller; Energy consumption; Efficient energy use; Memory management; Distributed computing; Computer architecture; Semiconductor memory; Computer hardware; Electrical engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005444698,0.0008292426,0.000587618,0.0009481939,0.0008699205,0.002268413,0.00209979,0.001239157,0.3043366],"category_scores_gemma":[0.001913593,0.0005432097,0.0005250333,0.0008439775,0.0004124004,0.00231969,0.001751431,0.001436719,0.1080498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042369,"about_ca_system_score_gemma":0.001753429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002725305,"about_ca_topic_score_gemma":0.003534693,"domain_scores_codex":[0.9992558,0.00007969329,0.00003162944,0.0001462722,0.0003797443,0.0001067281],"domain_scores_gemma":[0.9990163,0.0001363878,0.00004672463,0.0002836229,0.0003966676,0.0001203257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005136012,0.0002280346,0.001579223,0.0007769527,0.00006830556,0.0003932434,0.0002233337,0.01407006,0.01745986,0.0798156,0.499195,0.3856769],"study_design_scores_gemma":[0.00008458876,0.00009447293,0.0004390695,0.00006038579,0.00002431236,0.0002499913,0.0000422617,0.02207988,0.01132246,0.008712888,0.9568579,0.00003165944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01034363,0.002421038,0.16717,0.002407014,0.002127272,0.0005956221,0.01178124,0.08399904,0.7191551],"genre_scores_gemma":[0.1609463,0.00283672,0.1407891,0.001967506,0.0007546238,0.000992495,0.03051462,0.01143001,0.6497685],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6956634,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04137170615660445,"score_gpt":0.2765564288034216,"score_spread":0.2351847226468172,"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."}}