{"id":"W1487323595","doi":"10.5555/1367832.1367879","title":"BPMapping and UMM in business process modeling for e-government processes","year":2008,"lang":"en","type":"article","venue":"Digital Government Research","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Interoperability; Business process; Business process modeling; Process management; Artifact-centric business process model; Business process management; Interdependence; Process (computing); Business Process Model and Notation; Front office; Interconnectivity; Process modeling; Computer science; Business Process Execution Language; Government (linguistics); Business; Work in process; Marketing; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006562975,0.0002763731,0.0003500446,0.000198159,0.000489609,0.0008014365,0.0003759454,0.00009220205,0.00001120008],"category_scores_gemma":[0.001355478,0.0002518627,0.00005574956,0.001867018,0.0001401941,0.002814626,0.0003377144,0.0002285729,0.00001704295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002075528,"about_ca_system_score_gemma":0.0001037307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001613125,"about_ca_topic_score_gemma":0.00005634299,"domain_scores_codex":[0.9959037,0.000006847315,0.0004441051,0.00069051,0.002222956,0.0007319364],"domain_scores_gemma":[0.9985886,0.0001263995,0.0001284186,0.0002332249,0.0008867304,0.00003665654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003775842,0.006648357,0.5317248,0.04445038,0.0006212615,0.0005766873,0.00366438,0.2124981,0.002674725,0.0171277,0.003476498,0.1727612],"study_design_scores_gemma":[0.003030767,0.0000489945,0.003564039,0.001136974,0.00005614742,0.00002490317,0.005973424,0.9622477,0.000402037,0.01150606,0.01073876,0.001270143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743726,0.0004558324,0.012036,0.001364222,0.00005293495,0.0006360716,0.00002795944,0.00008986909,0.01096456],"genre_scores_gemma":[0.9982097,0.0001959604,0.0000791401,0.0001607442,0.0004108806,0.000280586,0.00002814007,0.00005167584,0.0005831324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7497497,"threshold_uncertainty_score":0.9999934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1024323514914316,"score_gpt":0.3052046150481511,"score_spread":0.2027722635567194,"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."}}