{"id":"W4399723139","doi":"10.1145/3665283.3665287","title":"Learned Index Acceleration with FPGAs: A SMART Approach","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Acceleration; Field-programmable gate array; Computer science; Index (typography); Embedded system; Computer architecture; World Wide Web; Physics","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":[0.00009488501,0.0001004842,0.00007980033,0.0001330176,0.00005663732,0.0003677767,0.0006424515,0.0000527821,0.00001222395],"category_scores_gemma":[0.00002073082,0.00006880218,0.00001593903,0.0006505341,0.0000504492,0.001104397,0.0002898301,0.0001674436,0.00008461604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003937577,"about_ca_system_score_gemma":0.00004859147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001311196,"about_ca_topic_score_gemma":0.000008653277,"domain_scores_codex":[0.9991255,0.00001140232,0.00009005692,0.0004176171,0.0001844625,0.0001709259],"domain_scores_gemma":[0.9993147,0.0000301405,0.00001654219,0.0005877743,0.00002541714,0.00002546688],"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":[0.00000403963,0.00002655298,0.0002012421,0.00002909349,0.00002010715,0.00004706432,0.0002331082,0.001152436,0.0004118629,0.6315197,0.003246005,0.3631088],"study_design_scores_gemma":[0.000243459,0.0001670589,0.0004064172,0.00003212401,0.00000561455,0.0001196187,0.0002187672,0.926097,0.005155361,0.02848822,0.03867851,0.0003878181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001349829,0.0001279646,0.9852741,0.001030283,0.00007522598,0.0001200956,8.81735e-7,0.002903826,0.009117748],"genre_scores_gemma":[0.6155277,0.000008637667,0.3830312,0.0001130527,0.00001505979,0.0000306931,0.000005322728,0.000007345636,0.001260911],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9249446,"threshold_uncertainty_score":0.3546479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03105625657647745,"score_gpt":0.2645840712107043,"score_spread":0.2335278146342269,"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."}}