{"id":"W4247058485","doi":"10.1109/pads.2004.1301283","title":"Event reconstruction in time warp","year":2004,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Overhead (engineering); Event (particle physics); Queue; Granularity; Parallel computing; State (computer science); Discrete event simulation; Real-time computing; Distributed computing; Embedded system; Algorithm; Operating system; Simulation; Computer network","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":[0.0008429286,0.0004738342,0.0004435405,0.0003124603,0.0004056003,0.0006436433,0.0007936807,0.0006603465,0.003005592],"category_scores_gemma":[0.004181299,0.0003655032,0.0003987379,0.0004293838,0.0006545787,0.001217301,0.001014429,0.0008246641,0.0005313032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003552042,"about_ca_system_score_gemma":0.0005007089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001780046,"about_ca_topic_score_gemma":0.0008476147,"domain_scores_codex":[0.9993675,0.000229384,0.00003430912,0.00009877978,0.0001987362,0.00007134395],"domain_scores_gemma":[0.998462,0.0008277491,0.0001408151,0.0004069152,0.0001075208,0.00005508879],"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":[0.000743315,0.00009683063,0.001767774,0.0001066478,0.00003536961,0.0003367496,0.0002447413,0.840673,0.01632419,0.04472413,0.0009622404,0.09398487],"study_design_scores_gemma":[0.00003769616,0.0001031976,0.0001915019,0.00001085895,0.00001327897,0.0001232266,0.00004312918,0.9689938,0.01482444,0.01222302,0.003417435,0.00001839482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06387457,0.0003129817,0.9301673,0.0001491799,0.00006022375,0.00008411505,0.00007553332,0.001443921,0.003832197],"genre_scores_gemma":[0.7603567,0.0003365965,0.2357009,0.00009111271,0.00002490679,0.0001164182,0.0002409192,0.0002359352,0.002896484],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003005592,"threshold_uncertainty_score":0.01005471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.076266643880429,"score_gpt":0.4149190334845694,"score_spread":0.3386523896041403,"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."}}