{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001693422,0.0008067456,0.0005296427,0.001435272,0.0007673096,0.0017892,0.002623901,0.001060455,0.176136],"category_scores_gemma":[0.005119788,0.0007388832,0.0005864269,0.001058485,0.0004506679,0.002827102,0.001994983,0.001162206,0.06651783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009762369,"about_ca_system_score_gemma":0.001425119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002558468,"about_ca_topic_score_gemma":0.004213905,"domain_scores_codex":[0.9988477,0.0001580335,0.00007065712,0.0002113838,0.0006200226,0.0000922231],"domain_scores_gemma":[0.9971293,0.0005757159,0.0001222766,0.0008813487,0.001104497,0.0001868647],"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":[0.0006234543,0.0001419551,0.002523858,0.0005685696,0.00006561991,0.0002900247,0.0002123881,0.0115917,0.01503867,0.02409982,0.6952759,0.2495681],"study_design_scores_gemma":[0.0001800649,0.0001895841,0.001652449,0.00007984365,0.00003401504,0.0004599907,0.00007817153,0.05357359,0.0194715,0.0109888,0.9132323,0.00005973635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02328495,0.001024167,0.2635357,0.002359297,0.002997594,0.001021194,0.04171398,0.2189708,0.4450923],"genre_scores_gemma":[0.1798338,0.001295124,0.1878089,0.002249233,0.0004025196,0.001545585,0.1311185,0.0406272,0.4551191],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.176136,"threshold_uncertainty_score":0,"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."}}