{"id":"W2909230076","doi":"10.1007/s00766-018-00308-3","title":"From event logs to goals: a systematic literature review of goal-oriented process mining","year":2019,"lang":"en","type":"article","venue":"Requirements Engineering","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Process mining; Process (computing); Computer science; Interpretability; TRACE (psycholinguistics); Data science; Business process discovery; Process modeling; Event (particle physics); Exploit; Data mining; Business process management; Work in process; Management science; Business process; Business process modeling; Engineering; Machine learning","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":[0.0004622452,0.0002825073,0.0007076277,0.0003682792,0.00003795779,0.0001126784,0.0003294886,0.00006446203,0.00008364055],"category_scores_gemma":[0.0003066712,0.0002455905,0.0001482948,0.001502798,0.000005227017,0.0007873711,0.0001248399,0.0001041755,0.0001100105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004045939,"about_ca_system_score_gemma":0.00001572699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003389296,"about_ca_topic_score_gemma":9.90933e-7,"domain_scores_codex":[0.9980223,0.000007930785,0.0007419467,0.0003949302,0.0005250101,0.0003079455],"domain_scores_gemma":[0.9988201,0.00002837935,0.0003548606,0.000411872,0.000358172,0.00002667344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00002201413,0.0001297928,0.00287317,0.9541332,0.0003869241,0.00001343354,0.0004655947,0.03604028,0.004352402,0.0008141333,0.0002809604,0.0004881769],"study_design_scores_gemma":[0.000636016,0.00001644253,0.0002361706,0.7712829,0.0006480398,0.000001976721,0.0002715803,0.224771,0.000345376,0.0001071729,0.0009771363,0.0007062082],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8759471,0.07113846,0.04668134,0.0008124455,0.00137557,0.002387042,0.00002158318,0.0005143866,0.001122056],"genre_scores_gemma":[0.9971684,0.0005586673,0.0007781617,0.0007362989,0.0003822131,0.00009919037,0.00008633933,0.00005497839,0.0001357844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1887307,"threshold_uncertainty_score":0.9999996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009829487960794024,"score_gpt":0.2474202010652709,"score_spread":0.2375907131044768,"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."}}