{"id":"W2014367737","doi":"10.1115/imece2005-79242","title":"Implementing Inter-Enterprise Workflow Management Using Agent-Based Web Services","year":2005,"lang":"en","type":"article","venue":"","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Workflow; Computer science; Workflow technology; Workflow management system; Workflow engine; Web service; Business process; Business Process Execution Language; Event-driven process chain; Knowledge management; Process management; Service-oriented architecture; World Wide Web; Software engineering; Business process management; Database; Engineering","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":[0.002170368,0.0004799261,0.0004734202,0.0008588421,0.001132719,0.003571513,0.00119805,0.001121888,0.001930178],"category_scores_gemma":[0.002159552,0.0003288193,0.0007947592,0.001028767,0.0006353456,0.003294656,0.001528077,0.0011993,0.001295256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007472034,"about_ca_system_score_gemma":0.002286442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005962221,"about_ca_topic_score_gemma":0.00672576,"domain_scores_codex":[0.9984673,0.000503062,0.0001504288,0.0001062382,0.0006058576,0.000167126],"domain_scores_gemma":[0.9992428,0.0001961881,0.00006549169,0.0002136596,0.0002171853,0.00006475691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002233768,0.00125893,0.004125712,0.0004229796,0.0003384153,0.001094523,0.001549739,0.1082922,0.03997105,0.3068269,0.01259711,0.5232991],"study_design_scores_gemma":[0.0001197361,0.0001259056,0.001066282,0.0001137644,0.0001433677,0.0003647577,0.0004051868,0.7464523,0.03693462,0.1046627,0.109526,0.0000855123],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01394376,0.0002518299,0.9718488,0.0003953752,0.0001407458,0.0001670441,0.00003549222,0.002724044,0.01049294],"genre_scores_gemma":[0.2088782,0.0008683149,0.7823694,0.0002184992,0.00007628746,0.0002122109,0.0003228799,0.0002309011,0.006823251],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005962221,"threshold_uncertainty_score":0.01185507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01846863020678013,"score_gpt":0.2489123293408655,"score_spread":0.2304436991340854,"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."}}