{"id":"W2103430295","doi":"10.5555/1218112.1218293","title":"Compiled code in distributed logic simulation","year":2006,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Logic simulation; Computer science; Code (set theory); Logic gate; Overhead (engineering); Parallel computing; Discrete event simulation; Logic optimization; Logic synthesis; Programming language; Simulation; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007909475,0.0001920911,0.0002965478,0.0003484406,0.000128202,0.0003191675,0.0005213462,0.0001348326,0.00135198],"category_scores_gemma":[0.0006126149,0.0001669939,0.00009937121,0.001036835,0.00008814217,0.0004349826,0.00009638959,0.0001615123,0.0003496293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001027692,"about_ca_system_score_gemma":0.00005057107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007037222,"about_ca_topic_score_gemma":0.0002366195,"domain_scores_codex":[0.9971547,0.0001775539,0.001098032,0.0005814711,0.0007315047,0.0002567809],"domain_scores_gemma":[0.9964582,0.00178959,0.0003320671,0.0006257753,0.0007293166,0.00006506714],"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":[0.00002537999,0.00008063539,0.03198428,0.000001229061,0.000001702447,0.000001286369,0.00006373321,0.943395,0.0001749006,0.01897795,0.0004346358,0.004859212],"study_design_scores_gemma":[0.0004037239,0.00001893816,0.117299,0.00001324748,0.000003171634,3.831855e-7,0.00004286052,0.759624,0.0001399418,0.1078577,0.01444293,0.0001540585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1276403,0.00001101458,0.8652329,0.0008409176,0.00009354217,0.0004410466,0.00009055866,0.000188457,0.005461274],"genre_scores_gemma":[0.9971452,6.140077e-7,0.00145939,0.0002127781,0.00008445635,0.00003262472,0.0001867859,0.0000122789,0.0008658943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8695049,"threshold_uncertainty_score":0.9995609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1911214535154842,"score_gpt":0.4418363303605551,"score_spread":0.250714876845071,"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."}}