{"id":"W4403439581","doi":"10.1007/978-3-031-62170-3_8","title":"Enabling Process Mining in the Construction Industry: An Event Log Schema for Change Management Process","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Schema (genetic algorithms); Process (computing); Computer science; Process mining; Work in process; Schema evolution; Event (particle physics); Process management; Data mining; Engineering; Information retrieval; Operations management; Business process; Business process management; Database schema; Programming language","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":[0.0005773539,0.0006032959,0.0005296857,0.001384125,0.0001083355,0.0004280804,0.0004934093,0.0006531045,0.00003790844],"category_scores_gemma":[0.0001040711,0.0005113856,0.0001435111,0.0007622878,0.00003517785,0.0006712729,0.00009349779,0.001131761,0.00000676785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009745287,"about_ca_system_score_gemma":0.00002841796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004762257,"about_ca_topic_score_gemma":0.0005135433,"domain_scores_codex":[0.9977383,0.000003011018,0.0005539448,0.0007739147,0.0004289523,0.0005018563],"domain_scores_gemma":[0.9991683,0.00007582459,0.0002391487,0.0003303824,0.0001694769,0.00001685332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004600699,0.00007190294,0.0003884649,0.01908075,0.0002173606,0.000109488,0.001367315,0.897563,0.00001612189,0.02356522,0.00001433084,0.05756005],"study_design_scores_gemma":[0.0007785651,0.00002137924,0.00004357398,0.009216701,0.0007372868,0.00002123229,0.0005533991,0.903804,0.00004876828,0.07107594,0.0121415,0.001557648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07999148,0.02862085,0.7665413,0.01338913,0.008163873,0.01373555,0.0001155551,0.003810957,0.08563133],"genre_scores_gemma":[0.9948875,0.00006725262,0.0005193896,0.0005032137,0.002809591,0.0005693317,0.0001543626,0.0001837122,0.0003056978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.914896,"threshold_uncertainty_score":0.9997337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02973423536180803,"score_gpt":0.2567201850437819,"score_spread":0.2269859496819739,"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."}}