{"id":"W2009491687","doi":"10.1145/1985394.1985402","title":"Business process performance prediction on a tracked simulation model","year":2011,"lang":"en","type":"article","venue":"","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Ontario Centres of Excellence","keywords":"Computer science; Process (computing); Key (lock); Performance prediction; Business process; Particle filter; Business process modeling; Software; Business process management; Performance indicator; Real-time computing; Filter (signal processing); Simulation; Work in process; Engineering; Operating system","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":[0.0009532896,0.0005609511,0.00067442,0.0006655872,0.0004437977,0.001529764,0.001059891,0.001285961,0.002186677],"category_scores_gemma":[0.00478912,0.0005318147,0.000589188,0.0007280646,0.0006459394,0.001086635,0.0005306198,0.0009615188,0.0005154688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001682343,"about_ca_system_score_gemma":0.001684154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06050872,"about_ca_topic_score_gemma":0.02016131,"domain_scores_codex":[0.9994716,0.00014627,0.00002942206,0.0001363269,0.0001485224,0.00006777605],"domain_scores_gemma":[0.9984427,0.0008293262,0.0001978434,0.0001516785,0.0003067268,0.00007178731],"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":[0.000019533,0.000009368137,0.0002835419,0.000003475775,0.000003754554,0.000009844454,0.000008152316,0.9970379,0.0001783088,0.001096797,0.00006000851,0.001289366],"study_design_scores_gemma":[0.000002497114,0.000003705013,0.00006131229,8.214442e-7,0.000001407245,9.733934e-7,7.34798e-7,0.9996076,0.00004815735,0.0002226266,0.00004865359,0.000001445362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2268104,0.0001515535,0.7621804,0.0005221851,0.00007332962,0.0001110143,0.0008075492,0.001509662,0.007833958],"genre_scores_gemma":[0.9605519,0.0001875521,0.03439439,0.00004350215,0.00002254326,0.0001457938,0.0006415588,0.00004933441,0.003963461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06050872,"threshold_uncertainty_score":0.120313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06375179777080424,"score_gpt":0.2352172440738051,"score_spread":0.1714654463030008,"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."}}