{"id":"W2015861674","doi":"10.1142/s0129626407003010","title":"PARALLEL ALGORITHMS FOR CELLULAR MODELS SIMULATION","year":2007,"lang":"en","type":"article","venue":"Parallel Processing Letters","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Computer science; Rollback; Parallel computing; Formalism (music); Execution time; Kernel (algebra); Discrete event simulation; Modeling and simulation; Distributed computing; Algorithm; Theoretical computer science; Simulation; Programming language; Database transaction; Mathematics","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":[0.0007820938,0.0006659416,0.0008048667,0.000570754,0.0006923625,0.001183215,0.001191156,0.0007956996,0.004414967],"category_scores_gemma":[0.003243021,0.0004151959,0.0009313452,0.0007724929,0.0007858475,0.001088073,0.001460768,0.001228409,0.0008336778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577457,"about_ca_system_score_gemma":0.001202909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005638199,"about_ca_topic_score_gemma":0.004225269,"domain_scores_codex":[0.9994324,0.0001811243,0.0000366816,0.00007248785,0.0002186903,0.00005850349],"domain_scores_gemma":[0.9989833,0.0005443661,0.00005754326,0.0001927345,0.0001796108,0.00004243083],"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":[0.00004162162,0.00002074394,0.0003810673,0.00007082048,0.00002615432,0.00005242193,0.0000788724,0.7368381,0.001117509,0.2265664,0.001798341,0.03300793],"study_design_scores_gemma":[0.000009816855,0.000004181424,0.00002003752,0.000004270732,0.000002902721,0.00001023983,0.000007636309,0.9543946,0.0003936005,0.04232794,0.002821791,0.000002866794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004640877,0.0001734073,0.9901034,0.0001459693,0.00003945215,0.00004026682,0.00007670987,0.0005265762,0.004253435],"genre_scores_gemma":[0.2537121,0.00062143,0.7368708,0.0001100108,0.0000708299,0.0005957066,0.0004845338,0.0003722742,0.007162285],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005638199,"threshold_uncertainty_score":0.01476955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1887998226557505,"score_gpt":0.4272595805106424,"score_spread":0.2384597578548919,"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."}}