{"id":"W3030145482","doi":"10.1002/smr.463","title":"Using classification methods to label tasks in process mining","year":2010,"lang":"en","type":"article","venue":"Journal of Software Maintenance and Evolution Research and Practice","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Process (computing); Task (project management); Identifier; Noise (video); Process mining; Data mining; Identification (biology); Cluster analysis; Representation (politics); Event (particle physics); Artificial intelligence; Machine learning; Pattern recognition (psychology); Business process; Work in process; Business process modeling; Engineering","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008630907,0.0001052213,0.0002121456,0.0008289407,0.0002915912,0.0003523655,0.0001598202,0.00008926146,0.000009713294],"category_scores_gemma":[0.01701007,0.00008572667,0.00002380213,0.001308511,0.0001127353,0.002538195,0.00008818318,0.0006680161,0.000003882524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003919967,"about_ca_system_score_gemma":0.0001267687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003675142,"about_ca_topic_score_gemma":0.00008816959,"domain_scores_codex":[0.9985718,0.00009600563,0.0003880609,0.0002157261,0.0004125829,0.0003158558],"domain_scores_gemma":[0.9960932,0.00072017,0.0003688704,0.0001111402,0.002655093,0.00005156458],"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":[0.007316966,0.001618311,0.3007722,0.002461137,0.0002694353,0.0002351824,0.002852984,0.003332621,0.07790987,0.0190018,0.005299399,0.5789301],"study_design_scores_gemma":[0.006905335,0.0005147365,0.2161339,0.003372502,0.0005941382,0.001540871,0.05913943,0.4869787,0.0002660255,0.1147609,0.1079871,0.001806362],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7576106,0.0006836829,0.2321416,0.00867851,0.0002015171,0.0001336845,9.066857e-7,0.0000188539,0.0005306731],"genre_scores_gemma":[0.8908921,0.0001098691,0.1081634,0.0003793562,0.0003819589,0.000005324291,9.194372e-7,0.00001249822,0.00005454311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5771238,"threshold_uncertainty_score":0.9912701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1712792241970421,"score_gpt":0.4612376638122474,"score_spread":0.2899584396152053,"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."}}