{"id":"W1561323240","doi":"10.1007/978-0-387-39940-9_3527","title":"Schema Evolution in Process Management Systems","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Schema evolution; Computer science; Business process; Schema (genetic algorithms); Business process management; Business process discovery; Process (computing); Event-driven process chain; Business process modeling; Process management; Artifact-centric business process model; Data science; Work in process; Engineering; Database; Operations management; Database schema; Programming language; Information retrieval","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008030899,0.0006887751,0.001192272,0.001687253,0.0001095797,0.0002014792,0.0006758891,0.000354089,0.00005677508],"category_scores_gemma":[0.00004716243,0.0006694971,0.0001956304,0.0005134295,0.00006823415,0.001269667,0.0002161807,0.0004237765,0.0003058564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001450417,"about_ca_system_score_gemma":0.00008409507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00151761,"about_ca_topic_score_gemma":0.00008149365,"domain_scores_codex":[0.9960561,0.00001300736,0.00147105,0.0009317477,0.001052472,0.0004756716],"domain_scores_gemma":[0.99707,0.00002702584,0.001392792,0.0009374911,0.0005407138,0.00003194925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001717347,0.0005095448,0.001956669,0.06237582,0.000728289,0.0004874797,0.0000890968,0.03009685,0.00001913619,0.8760648,0.01376562,0.01373495],"study_design_scores_gemma":[0.002607089,0.0000337023,0.0003299406,0.03073287,0.002231461,0.000025004,0.001168269,0.08252288,0.000001864173,0.01001853,0.8668153,0.003513039],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0005189861,0.008926006,0.002711067,0.00006862568,0.001391431,0.001217437,0.0001330135,0.0002230062,0.9848104],"genre_scores_gemma":[0.4966547,0.003915596,0.0002574121,0.0001430019,0.00754008,0.0003624468,0.004104301,0.0003923174,0.4866301],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8660462,"threshold_uncertainty_score":0.9995756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500495728148582,"score_gpt":0.2262972949024406,"score_spread":0.2112923376209548,"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."}}