{"id":"W2151326614","doi":"10.1145/1508244.1508259","title":"RapidMRC","year":2009,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":174,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Cache; Multi-core processor; Cache algorithms; Overhead (engineering); Cache invalidation; Parallel computing; Smart Cache; Software; CPU cache; Process (computing); Code (set theory); Cache pollution; Operating system; Programming language","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001714885,0.00133989,0.0009751195,0.003195324,0.0005306008,0.001197303,0.00295703,0.0009793759,0.01776343],"category_scores_gemma":[0.01155829,0.0005739275,0.0005692347,0.002435866,0.0003249683,0.001407721,0.001018499,0.0008437366,0.008014241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112326,"about_ca_system_score_gemma":0.001387194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00553199,"about_ca_topic_score_gemma":0.00555448,"domain_scores_codex":[0.997561,0.0003430879,0.0001337746,0.0004813331,0.001280776,0.0002000772],"domain_scores_gemma":[0.9907066,0.002177357,0.0009662798,0.00301962,0.002978055,0.0001520443],"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":[0.001322203,0.0003082887,0.00842483,0.0008501501,0.0001752501,0.0004236107,0.0002330809,0.08502613,0.04626469,0.0145952,0.1215227,0.7208539],"study_design_scores_gemma":[0.0002298394,0.0004463544,0.008945893,0.00009690105,0.00007061099,0.001057117,0.00007089074,0.7504284,0.1129272,0.00754356,0.1178698,0.0003134412],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.09628857,0.002073943,0.6130441,0.0005572158,0.0005091524,0.001116023,0.01795537,0.2184651,0.04999051],"genre_scores_gemma":[0.470401,0.0005775795,0.4879259,0.0004838734,0.0002040254,0.001079216,0.01234054,0.008345588,0.01864219],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9822366,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268274042116076,"score_gpt":0.2532537885188776,"score_spread":0.2405710480977168,"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."}}