{"id":"W2611943955","doi":"10.1002/cpe.4149","title":"Semi‐asynchronous approximate parallel DEVS simulation of web search engines","year":2017,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Universidad de Santiago de Chile","keywords":"DEVS; Computer science; Asynchronous communication; Discrete event simulation; Distributed computing; Formalism (music); Parallel computing; Modeling and simulation; Simulation","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006245905,0.0002785292,0.0005476022,0.0003206857,0.0003669319,0.0007959927,0.0008578562,0.0005180185,0.001130649],"category_scores_gemma":[0.002254315,0.0002566492,0.000408471,0.0004157717,0.0006343189,0.0004784065,0.0006054484,0.0004844054,0.000124334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007978817,"about_ca_system_score_gemma":0.0008119901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01124754,"about_ca_topic_score_gemma":0.00442378,"domain_scores_codex":[0.9996961,0.0001293127,0.00001734996,0.00002627805,0.00008478696,0.0000461728],"domain_scores_gemma":[0.998923,0.0006446352,0.00008361106,0.0001360664,0.0001386035,0.00007406153],"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":[0.00005659341,0.00001466429,0.0008276101,0.00001107171,0.00000677776,0.00002585047,0.00001786758,0.9942538,0.0007329706,0.002717556,0.00006370685,0.001271452],"study_design_scores_gemma":[0.000004661861,0.000004149992,0.00005397211,3.944585e-7,8.462864e-7,0.00000175939,0.000003107862,0.9993789,0.0001630578,0.0003423502,0.00004582188,8.610492e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7450813,0.0001445004,0.2409502,0.0003694222,0.00004848395,0.0000800825,0.0003059605,0.0006849839,0.01233495],"genre_scores_gemma":[0.9871228,0.0000353531,0.01201434,0.00001784575,0.000005036229,0.0000407869,0.00008628882,0.00002176583,0.0006556718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01124754,"threshold_uncertainty_score":0.02236414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1397565302147862,"score_gpt":0.4795061918819329,"score_spread":0.3397496616671468,"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."}}