{"id":"W2233147800","doi":"10.1145/2840807","title":"Citadel","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Architecture and Code Optimization","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"Defense Advanced Research Projects Agency","keywords":"Computer science; Cache; Cache-only memory architecture; Granularity; Registered memory; Embedded system; CPU cache; Interleaved memory; Dram; Parallel computing; Overlay; Computer hardware; Memory management; Operating system; Cache coloring","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":[0.00009639707,0.0001353443,0.0001051087,0.0001946352,0.0002141193,0.0000771967,0.0004235982,0.0000719622,0.00003114019],"category_scores_gemma":[0.000029951,0.00009377094,0.00004434774,0.0002736071,0.00004432184,0.0002178062,0.00001785968,0.00009564472,0.000008569358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001908053,"about_ca_system_score_gemma":0.00002280229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002222426,"about_ca_topic_score_gemma":0.00000414142,"domain_scores_codex":[0.9991351,0.0000568621,0.000157274,0.0003371255,0.0001443342,0.0001692619],"domain_scores_gemma":[0.9991479,0.0001406879,0.0000508989,0.0005277747,0.00005461249,0.00007815072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000126831,0.00003823949,0.00000855345,0.000003351543,0.00001179947,0.000001169477,0.0001648862,0.557749,0.0001667368,0.001875623,0.0001095472,0.4398584],"study_design_scores_gemma":[0.001801048,0.0005836674,0.0002207287,0.0001908247,0.00003372501,0.0001170241,0.00001587702,0.9340273,0.01318771,0.03921077,0.009719405,0.0008919109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001297286,0.00003569123,0.9912192,0.007078839,0.00008517002,0.0001176583,0.0000076795,0.0005679415,0.0007580879],"genre_scores_gemma":[0.2140872,0.0002487507,0.7843497,0.000647524,0.00002113571,0.00002181635,0.000001819136,0.00001268971,0.000609311],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4389665,"threshold_uncertainty_score":0.3823868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247025911519228,"score_gpt":0.2361071046842105,"score_spread":0.2236368455690182,"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."}}