{"id":"W2005275470","doi":"10.1109/fpl.2009.5272519","title":"An analytical model relating FPGA architecture and place and route runtime","year":2009,"lang":"en","type":"article","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Field-programmable gate array; Simulated annealing; Router; Architecture; Computer science; Bounding overwatch; Parallel computing; Computer architecture; Function (biology); Embedded system; Algorithm; Artificial intelligence; Computer network","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":[0.00007909464,0.0001072133,0.0001156755,0.00005563055,0.0000372128,0.00004522268,0.00004570458,0.0000839776,0.000008330546],"category_scores_gemma":[0.000006744918,0.0000922515,0.00001406398,0.00005415126,0.00001741191,0.0001165258,0.000009360118,0.0001587125,0.000001150217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000104306,"about_ca_system_score_gemma":0.000003483358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004361379,"about_ca_topic_score_gemma":0.000003823541,"domain_scores_codex":[0.9995488,0.000007816091,0.0001003347,0.0001349075,0.00006037145,0.0001477537],"domain_scores_gemma":[0.9997601,0.00001830011,0.000006735403,0.0001183948,0.000006971359,0.00008948888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004284808,0.00008201045,0.002408551,0.0001048396,0.00008433781,0.00004377278,0.002513869,0.4571943,0.06556035,0.02377146,0.004818666,0.443375],"study_design_scores_gemma":[0.000098194,0.00006143969,0.0009193368,0.00001090831,0.00001068737,0.00001776129,0.00001123001,0.9935424,0.001343516,0.003774467,0.00007388626,0.0001361535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4402295,0.0002322867,0.5299146,0.0001796427,0.000008898439,0.0001240948,0.000003541532,0.001123214,0.0281842],"genre_scores_gemma":[0.9566934,0.00002083002,0.0428695,0.0001073454,0.00002342815,0.000001330695,0.000002113199,0.00001224828,0.0002698293],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5363481,"threshold_uncertainty_score":0.3761907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008682102570983872,"score_gpt":0.2269693146175823,"score_spread":0.2182872120465984,"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."}}