{"id":"W2124894008","doi":"10.1109/mwscas.2007.4488662","title":"Exploring different methods for 2DR-tree binary search on a FPGA","year":2007,"lang":"en","type":"article","venue":"Conference proceedings","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Implementation; Field-programmable gate array; Computer science; Software implementation; Software; Binary tree; Data structure; Tree (set theory); Binary data; Computer architecture; Binary number; Parallel computing; Theoretical computer science; Embedded system; Operating system; Software engineering; Programming language; Arithmetic; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005725801,0.0004327006,0.0004560687,0.001015844,0.0004039711,0.000820708,0.001111457,0.0006302939,0.004930514],"category_scores_gemma":[0.002123324,0.0002722052,0.0004735335,0.001435217,0.0003799383,0.001951947,0.0005840712,0.0003347771,0.0008373784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005894192,"about_ca_system_score_gemma":0.0007141829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002609713,"about_ca_topic_score_gemma":0.006050372,"domain_scores_codex":[0.999355,0.0001844242,0.00005765109,0.00008448364,0.0002452651,0.0000731152],"domain_scores_gemma":[0.9991755,0.0004451785,0.00004977175,0.0001526629,0.0001547526,0.000022171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004626993,0.0001483431,0.001410677,0.0003980448,0.00007603211,0.0001281068,0.0002693604,0.08653527,0.02177233,0.05537372,0.003184753,0.8302407],"study_design_scores_gemma":[0.0002742059,0.0003117498,0.001038023,0.00006606561,0.00005310323,0.0004418798,0.0001751113,0.9344045,0.02266567,0.02507693,0.01543969,0.0000530517],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05611815,0.001420176,0.9322974,0.0002794696,0.00006489097,0.00009819301,0.00006509216,0.001697117,0.007959489],"genre_scores_gemma":[0.2001482,0.0005370692,0.7949199,0.0001114452,0.00004587135,0.0001197583,0.0001259107,0.0001893207,0.003802423],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004930514,"threshold_uncertainty_score":0.01649427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2558867416882275,"score_gpt":0.378630708343344,"score_spread":0.1227439666551165,"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."}}