{"id":"W2783307004","doi":"","title":"EVE, a CAD tool providing placement and pipelining assistance for high-speed FPGA circuit designs","year":2001,"lang":"en","type":"dissertation","venue":"TSpace","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Field-programmable gate array; Critical path method; Electronic circuit; Event (particle physics); Path (computing); Digital electronics; Computer architecture; Place and route; Virtex; Parallel computing; Computer engineering; Embedded system; Electrical engineering; Engineering; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002602289,0.0004037246,0.0004364811,0.0001728884,0.0001271353,0.0001159862,0.000159125,0.0003645693,0.00004192589],"category_scores_gemma":[0.0000675678,0.0004499037,0.00007488222,0.0001532187,0.00001287022,0.0001141889,0.00001030965,0.0002957094,0.00000637519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001996584,"about_ca_system_score_gemma":0.00005885766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002822836,"about_ca_topic_score_gemma":0.00004586753,"domain_scores_codex":[0.9986132,0.0000210558,0.000338323,0.0003915759,0.000214605,0.0004211857],"domain_scores_gemma":[0.9993306,0.0001272411,0.0001241828,0.0002524435,0.00008743362,0.00007805273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001045025,0.0002678704,0.0004850563,0.01447834,0.001377194,0.000164934,0.0564789,0.004612997,0.6049753,0.01017151,0.1269049,0.1790379],"study_design_scores_gemma":[0.007371532,0.001340338,0.002493043,0.008373472,0.001739092,0.00007159268,0.02137221,0.04569806,0.8216946,0.009877696,0.07059568,0.009372751],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2796407,0.007384785,0.648226,0.00007421497,0.00151263,0.005388467,0.00006714069,0.003998472,0.05370755],"genre_scores_gemma":[0.9195679,0.001107644,0.01581943,0.00006953756,0.0005235818,0.000949327,0.0007659854,0.0004034542,0.06079314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6399272,"threshold_uncertainty_score":0.9997953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0394614255143726,"score_gpt":0.3021611564324693,"score_spread":0.2626997309180967,"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."}}