{"id":"W2066284378","doi":"10.4018/jitwe.2012010101","title":"Architecture of an Event Processing Application for Monitoring Cardiac Patient Wait Times","year":2012,"lang":"en","type":"article","venue":"International Journal of Information Technology and Web Engineering","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Complex event processing; Computer science; Business process; Event (particle physics); Architecture; Process (computing); Process mining; Business process management; Data science; Work in process; Operating system; Operations management","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":[0.001547969,0.000715998,0.0007604126,0.001005744,0.000849497,0.002377487,0.002390735,0.001849472,0.003401486],"category_scores_gemma":[0.002644253,0.0007696493,0.000511836,0.0008646886,0.0004991473,0.001293269,0.001143214,0.00142035,0.001740918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007076282,"about_ca_system_score_gemma":0.001367635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003918187,"about_ca_topic_score_gemma":0.002072999,"domain_scores_codex":[0.9988962,0.0001650738,0.0001453352,0.0002625053,0.0004147818,0.0001160626],"domain_scores_gemma":[0.9983004,0.0004430405,0.0001178125,0.0002459154,0.0006618779,0.0002309267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002912988,0.002357724,0.03817729,0.001074177,0.00059547,0.004832218,0.002730307,0.0917349,0.2189932,0.03010388,0.04890829,0.5575796],"study_design_scores_gemma":[0.0002706552,0.0006273302,0.01085593,0.0001364671,0.0003298005,0.001793773,0.0003302408,0.8092964,0.1010768,0.009680356,0.06534347,0.0002588022],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04427116,0.0002279854,0.9015204,0.00100453,0.0002140781,0.0007277637,0.00035002,0.04464728,0.007036719],"genre_scores_gemma":[0.4983271,0.0003377187,0.4885329,0.000861947,0.0001285568,0.0005176355,0.001345386,0.0007692707,0.009179527],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003918187,"threshold_uncertainty_score":0.01137912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003305111907041918,"score_gpt":0.2074891449817052,"score_spread":0.2041840330746633,"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."}}