{"id":"W2907067508","doi":"10.1145/3240302.3240417","title":"Data-driven spatial locality","year":2018,"lang":"en","type":"article","venue":"Proceedings of the International Symposium on Memory Systems","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Locality; Computer science; Locality of reference; Cache; Spatial analysis; Bandwidth (computing); Database; Parallel computing; Computer network; Geography","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":[0.001635645,0.0004895455,0.0006001808,0.0008452403,0.001391377,0.001975563,0.002731515,0.0008252155,0.01032676],"category_scores_gemma":[0.0103939,0.0006742988,0.0005613976,0.001837207,0.00222905,0.006548276,0.004790182,0.001721661,0.002940213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001681389,"about_ca_system_score_gemma":0.002300109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002845017,"about_ca_topic_score_gemma":0.004854493,"domain_scores_codex":[0.9974195,0.0004494094,0.0001285876,0.0004584916,0.001201359,0.0003427089],"domain_scores_gemma":[0.991699,0.001942194,0.0004330967,0.003330327,0.002300479,0.0002950639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008273316,0.0003637012,0.01053191,0.001032659,0.0001388666,0.0005474343,0.001948338,0.09309191,0.06113875,0.5540097,0.05715827,0.2192111],"study_design_scores_gemma":[0.0001470282,0.0002749521,0.002237509,0.0001418528,0.0001154689,0.001049509,0.0008498161,0.3091029,0.08621796,0.4623379,0.1373789,0.0001463109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1218998,0.002798672,0.7852403,0.00365752,0.000459607,0.0002815152,0.001522395,0.008539527,0.07560068],"genre_scores_gemma":[0.7793666,0.001207243,0.1822434,0.001289654,0.0001617091,0.0004922925,0.001274095,0.002313188,0.03165178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01032676,"threshold_uncertainty_score":0.03454649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02384940291775986,"score_gpt":0.2557066845715529,"score_spread":0.2318572816537931,"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."}}