{"id":"W2184543927","doi":"10.5065/e8kh-6644","title":"Evaluating an event-based approach to workflow services","year":2021,"lang":"en","type":"article","venue":"Open MIND","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workflow; Metis; Computer science; Workflow engine; Workflow technology; Workflow management system; Automation; Soundness; Event (particle physics); Software engineering; Database; Engineering; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006946184,0.0001701732,0.0002441162,0.0001380768,0.0002705057,0.001910769,0.0006149589,0.00005755151,0.001118118],"category_scores_gemma":[0.00005529904,0.0001608867,0.00006550394,0.00115649,0.00001058814,0.001340411,0.0003386167,0.00008848663,0.0006263924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001437131,"about_ca_system_score_gemma":0.000087466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003681864,"about_ca_topic_score_gemma":0.0002432336,"domain_scores_codex":[0.9985549,0.00002016245,0.0002627359,0.0005768539,0.0003250342,0.0002603118],"domain_scores_gemma":[0.9989472,0.00001301374,0.0001330584,0.0004118427,0.000467461,0.00002741653],"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":[0.00005007468,0.0005040104,0.00255728,0.0002032988,0.00004854146,0.00001164853,0.0001679387,0.4500319,0.001768991,0.00008994375,0.00009910346,0.5444673],"study_design_scores_gemma":[0.0004725049,0.000005851417,0.0003266346,0.0001475589,0.0001578386,8.034631e-7,0.0008048778,0.9844069,0.0004931029,0.0002462799,0.01262287,0.0003147706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9368157,0.0001140584,0.03225816,0.001298552,0.0001552691,0.00028961,0.000003816382,0.00001760581,0.02904718],"genre_scores_gemma":[0.9507806,5.272274e-7,0.04555615,0.001961644,0.00050835,0.0000351937,0.0002497512,0.00002678741,0.0008809473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5441525,"threshold_uncertainty_score":0.999795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1077636574788807,"score_gpt":0.3541831630261378,"score_spread":0.2464195055472571,"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."}}