{"id":"W3148956636","doi":"10.1109/wsc.2006.323185","title":"Compiled Code in Distributed Logic Simulation","year":2006,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Logic simulation; Computer science; Code (set theory); Overhead (engineering); Logic gate; Discrete event simulation; Parallel computing; Logic synthesis; Simulation; Programming language; Algorithm","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":[0.0006546913,0.0004802979,0.0003888007,0.0004289211,0.0004082523,0.0009054836,0.0008694743,0.0004654413,0.004096938],"category_scores_gemma":[0.003178789,0.0003976552,0.0004057832,0.0004234564,0.0006527888,0.000878555,0.0007459725,0.0009438072,0.0008307742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005682923,"about_ca_system_score_gemma":0.00112691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002105853,"about_ca_topic_score_gemma":0.00187042,"domain_scores_codex":[0.9993873,0.000224976,0.00003464703,0.00009314566,0.0002052491,0.00005459701],"domain_scores_gemma":[0.9981894,0.0009095661,0.0001109892,0.0004474043,0.0002930396,0.00004956413],"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":[0.0004469716,0.0002539399,0.004076872,0.0003563908,0.000083023,0.000564182,0.0004873715,0.7179707,0.02819121,0.0946485,0.006151292,0.1467696],"study_design_scores_gemma":[0.00007121,0.00007190135,0.000313815,0.00004784914,0.00002931284,0.0001136381,0.00003449792,0.9451923,0.02113505,0.02023317,0.01274035,0.00001679908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02798425,0.00009245135,0.9586907,0.0000829926,0.00004276405,0.0000700142,0.00007962633,0.007810644,0.005146557],"genre_scores_gemma":[0.4225143,0.0001814277,0.5696259,0.0001370813,0.00002518546,0.0002805238,0.0003477813,0.00178745,0.005100238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004096938,"threshold_uncertainty_score":0.01370555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.165950042261666,"score_gpt":0.458827731484735,"score_spread":0.2928776892230691,"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."}}