{"id":"W2122900653","doi":"10.1145/2678373.2665691","title":"SynFull","year":2014,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Speedup; Pace; Cache coherence; Workload; Power consumption; Cache; Computer architecture; Distributed computing; Power (physics); Cache algorithms; CPU cache; Computer network; Parallel computing","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":[0.0005418555,0.0002892123,0.0003437479,0.0002199147,0.0002151914,0.0003613306,0.002858493,0.0001124279,0.00002667648],"category_scores_gemma":[0.0001064985,0.0002334195,0.0001947528,0.0004063088,0.0000549559,0.0002024224,0.001174356,0.0004515851,0.0002286505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003587406,"about_ca_system_score_gemma":0.00003766187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007516168,"about_ca_topic_score_gemma":0.00008264159,"domain_scores_codex":[0.9974427,0.0004107872,0.0003975086,0.0007327005,0.0004290916,0.000587244],"domain_scores_gemma":[0.9968795,0.0006701979,0.0001116859,0.002001161,0.0001036316,0.0002338778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001129372,0.00005359498,0.0004474024,0.00002875034,0.00004725794,0.00001802972,0.001560175,0.009606202,0.0003195603,0.05118424,0.03040613,0.9063174],"study_design_scores_gemma":[0.0006773852,0.0005619695,0.001176089,0.00008407539,0.000006357909,0.000324815,0.000006520212,0.3678637,0.0003543902,0.04278063,0.5855785,0.0005856013],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006049002,0.00004413234,0.9802547,0.0048078,0.002425474,0.000232407,7.40164e-7,0.000498126,0.00568766],"genre_scores_gemma":[0.7563043,0.000004110832,0.2351459,0.005349121,0.002748024,0.00003034499,0.000004109389,0.00002880578,0.000385366],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9057318,"threshold_uncertainty_score":0.9518572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009785753314016484,"score_gpt":0.2220381049594068,"score_spread":0.2122523516453904,"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."}}