{"id":"W2114206928","doi":"10.14778/2536206.2536214","title":"RACE","year":2013,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Speedup; Cache; Cloud computing; Parallel computing; Sequence (biology); Representation (politics); Multi-core processor; Contrast (vision); Scaling; Artificial intelligence; Operating system; Mathematics","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":[0.0001106809,0.00007911429,0.00009165519,0.00002874176,0.00008349166,0.0001084474,0.001261045,0.00002173404,0.00003482133],"category_scores_gemma":[0.00002470016,0.00004550453,0.00004959964,0.0001779979,0.00002857453,0.0006187936,0.0009413285,0.0000696464,0.0000587058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002019008,"about_ca_system_score_gemma":0.00001073806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007075001,"about_ca_topic_score_gemma":1.431134e-7,"domain_scores_codex":[0.999235,0.000002520733,0.0001451148,0.0001828025,0.0002749264,0.0001595785],"domain_scores_gemma":[0.9994968,0.00001473099,0.0001204187,0.0001957709,0.0001246217,0.00004770955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007013956,0.0003389601,0.005326307,0.0001142905,0.00005377529,4.643647e-7,0.001745618,0.00002121239,0.2585592,0.32023,0.2379005,0.1757027],"study_design_scores_gemma":[0.001142741,0.0002090158,0.0339851,0.0002630177,0.00002019701,0.00003830657,0.0002785347,0.04933289,0.7455251,0.0898834,0.07878714,0.0005346172],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.756903,0.001236158,0.07264776,0.03761639,0.003335604,0.003812237,0.00001233476,0.0007929674,0.1236436],"genre_scores_gemma":[0.9512584,0.00002533878,0.04707276,0.0003158589,0.00006228636,0.00006029577,2.487474e-7,0.000006264117,0.001198508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4869658,"threshold_uncertainty_score":0.2343356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006947487662152172,"score_gpt":0.195774613035835,"score_spread":0.1888271253736829,"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."}}