{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007339615,0.0001022595,0.0001710216,0.00008889774,0.0006039406,0.0004009444,0.0002744282,0.0000559766,0.00003398038],"category_scores_gemma":[0.001810504,0.00008661202,0.00002697247,0.0001472593,0.0002799492,0.001424631,0.0001330153,0.00008920934,0.000008193485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006752809,"about_ca_system_score_gemma":0.00005359063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003058669,"about_ca_topic_score_gemma":0.000001509743,"domain_scores_codex":[0.998614,0.00008398554,0.0004281859,0.0003410986,0.0004097451,0.0001229991],"domain_scores_gemma":[0.9971448,0.001476802,0.0004432324,0.0003432,0.0005147361,0.00007721749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009666657,0.0001655394,0.01288842,0.00003949782,0.00001826762,0.000003373516,0.01517639,0.06254699,0.001277642,0.03342217,0.0001967518,0.8741683],"study_design_scores_gemma":[0.0003770301,0.00006977625,0.007707082,0.0000211152,0.00001107549,0.00001028982,0.003252542,0.9746071,0.000529269,0.007249875,0.006018099,0.000146755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4908295,0.0003854193,0.5058314,0.0006231221,0.00008327568,0.0002199492,0.000007047825,0.00003461042,0.001985604],"genre_scores_gemma":[0.9941016,0.0002019319,0.00550206,0.00007271171,0.00003120537,0.00002706896,0.000004182073,0.000004461876,0.00005476016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9120601,"threshold_uncertainty_score":0.4645084,"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."}}