{"id":"W2077023821","doi":"10.1145/1923947.1923999","title":"Modeling and implementing a business process using WebSphere Lombardi Edition 7.1","year":2010,"lang":"en","type":"article","venue":"","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Business process management; Business process; Business process modeling; Process (computing); Computer science; Return on investment; Investment (military); Artifact-centric business process model; Business rule; Process management; Industrial engineering; Work in process; Business; Operations management; Engineering; Operating system; Production (economics)","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":[0.001248996,0.001257478,0.0007653295,0.001500622,0.0007138202,0.003185831,0.001492174,0.001394539,0.01881974],"category_scores_gemma":[0.002163755,0.001294418,0.00167248,0.001231617,0.000448667,0.002956457,0.001150209,0.001950614,0.006783359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005494917,"about_ca_system_score_gemma":0.001570477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01036543,"about_ca_topic_score_gemma":0.008035704,"domain_scores_codex":[0.9994504,0.0001174818,0.0000791901,0.00006647337,0.0002376035,0.0000488512],"domain_scores_gemma":[0.9993899,0.0003027754,0.00004011041,0.0001056509,0.0001340789,0.00002745155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002404714,0.0003578445,0.003542148,0.001549089,0.0003193455,0.001445941,0.001920222,0.2457262,0.01623812,0.1871616,0.07494263,0.4665564],"study_design_scores_gemma":[0.00007467012,0.00005611274,0.0009053911,0.0004147357,0.0001396748,0.0004854308,0.0001061603,0.6241869,0.01135503,0.02882751,0.3333721,0.00007628103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004101049,0.0003165133,0.9547824,0.000271876,0.0000747611,0.0002641901,0.001422997,0.02640572,0.01236061],"genre_scores_gemma":[0.03208258,0.001086177,0.9303772,0.000104378,0.0000297771,0.0008137433,0.005621585,0.006676536,0.02320812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01881974,"threshold_uncertainty_score":0.06295836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885167703297014,"score_gpt":0.2527887522336865,"score_spread":0.2339370752007164,"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."}}