{"id":"W2002932832","doi":"10.1145/2682583","title":"Learning your limit","year":2014,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Advanced Micro Devices","keywords":"Computer science; Parallel computing; Cache; Thread (computing); CPU cache; Scheduling (production processes); Cache pollution; Massively parallel; Page cache; Embedded system; Cache algorithms; Operating system","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":[0.005225169,0.0008866468,0.00112801,0.0009340321,0.003584156,0.00982896,0.002833426,0.007176477,0.1256662],"category_scores_gemma":[0.03714309,0.0003169245,0.0008556099,0.0006965917,0.007261564,0.01925639,0.00653867,0.01110514,0.058412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002435047,"about_ca_system_score_gemma":0.004248208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001368371,"about_ca_topic_score_gemma":0.00124618,"domain_scores_codex":[0.9957035,0.001140798,0.000197693,0.0009662646,0.00138757,0.0006040954],"domain_scores_gemma":[0.9869681,0.004198035,0.000809409,0.00266976,0.00250554,0.002849111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001097322,0.0001399567,0.0009554917,0.0002232846,0.00003274023,0.0004315348,0.0007439326,0.0005007273,0.0003454167,0.3101391,0.5237516,0.1626264],"study_design_scores_gemma":[0.00001843447,0.00004547884,0.0001758861,0.0002855082,0.000008145543,0.0004030933,0.0005263656,0.0004491482,0.0002488037,0.1870709,0.8107458,0.00002257803],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006439791,0.02012795,0.02807664,0.502125,0.04060383,0.0001198825,0.0006799399,0.0010434,0.4007836],"genre_scores_gemma":[0.1709472,0.02734415,0.02138046,0.2611499,0.02721112,0.000533147,0.0009442774,0.001300931,0.4891889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1256662,"threshold_uncertainty_score":0.4203952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.050528264524641,"score_gpt":0.3031457732609397,"score_spread":0.2526175087362987,"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."}}