{"id":"W2969736595","doi":"10.1007/978-3-030-26619-6_9","title":"Goal-oriented Process Enhancement and Discovery","year":2019,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Interpretability; Computer science; Process (computing); Event (particle physics); Perspective (graphical); Timestamp; Identifier; Process mining; Business process discovery; Data mining; Data science; Artificial intelligence; Business process; Business process management; Work in process; Business process modeling; Computer security","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":[0.0004100897,0.0004032461,0.00045179,0.0007256768,0.0002206811,0.0008363244,0.0005833505,0.0001600845,0.00003943513],"category_scores_gemma":[0.00005347036,0.0003370914,0.00007311085,0.0005630393,0.0003271463,0.001520091,0.0005801755,0.0003540635,0.00006177462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005868736,"about_ca_system_score_gemma":0.0001583443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000665392,"about_ca_topic_score_gemma":0.00005307616,"domain_scores_codex":[0.9975131,0.000002133477,0.0003501546,0.001038636,0.0006530883,0.0004428857],"domain_scores_gemma":[0.9988477,0.00004962919,0.0003082169,0.0004316148,0.0003451216,0.00001769706],"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":[0.00006638384,0.0001367788,0.003291841,0.002491885,0.00008361176,0.00005023583,0.0003523498,0.1012512,0.000380979,0.03379509,0.00004999756,0.8580497],"study_design_scores_gemma":[0.0005334869,0.00002898744,0.0001902126,0.001570917,0.0001238275,0.000005909765,0.00000179374,0.891081,0.0003089418,0.1002247,0.004726412,0.001203801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004808664,0.0005079906,0.9872536,0.0006697963,0.000782665,0.0002382102,0.000001832212,0.00006902077,0.005668239],"genre_scores_gemma":[0.9911949,0.00006179516,0.003045808,0.002633116,0.001265873,0.000008400993,0.00002701771,0.00004694049,0.001716117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9863862,"threshold_uncertainty_score":0.9999081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01010625145044135,"score_gpt":0.2256971146005768,"score_spread":0.2155908631501354,"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."}}