{"id":"W2075843361","doi":"10.1109/mm.2014.3","title":"Kabini: An AMD Accelerated Processing Unit System on A Chip","year":2014,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Embedded system; x86; Central processing unit; Multi-core processor; Computer hardware; Chip; Efficient energy use; Operating system; Software; Electrical engineering; Telecommunications; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004001064,0.0007783371,0.0006377773,0.0006874052,0.000612632,0.00138375,0.001972839,0.0004967449,0.03209312],"category_scores_gemma":[0.001160968,0.000452973,0.0002587487,0.0009126306,0.0003002059,0.001040899,0.001489664,0.001302631,0.009349171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001215952,"about_ca_system_score_gemma":0.002734323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003840606,"about_ca_topic_score_gemma":0.005591311,"domain_scores_codex":[0.9992844,0.00008301789,0.00003055537,0.0000956542,0.0003749404,0.0001313928],"domain_scores_gemma":[0.999527,0.00003631048,0.00004099531,0.00006643467,0.0002206655,0.0001086237],"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":[0.001820895,0.0003203092,0.002163006,0.00073347,0.0001298189,0.0004869348,0.0002866074,0.01532073,0.06599533,0.03301749,0.5114008,0.3683247],"study_design_scores_gemma":[0.0006129565,0.0008078882,0.002312943,0.000126245,0.0001003806,0.0007781034,0.00007962498,0.165246,0.04345459,0.008504176,0.7777767,0.0002004091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0705605,0.009788421,0.4047118,0.002154665,0.002086732,0.001468197,0.004575114,0.1189385,0.385716],"genre_scores_gemma":[0.450341,0.002480244,0.3317313,0.00189575,0.0002453043,0.001511508,0.01097319,0.00589982,0.1949218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03209312,"threshold_uncertainty_score":0.1073623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03830314710420459,"score_gpt":0.2811050205506671,"score_spread":0.2428018734464625,"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."}}