{"id":"W112193273","doi":"10.1007/978-3-642-24431-5_18","title":"Modeling and Verifying Timed Compensable Workflows and an Application to Health Care","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Workflow; Software engineering; Programming language; Database","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":[0.0003823312,0.0002912343,0.0003881185,0.0006165036,0.0003932697,0.0005061649,0.0003985887,0.0001234244,0.000006583667],"category_scores_gemma":[0.00001638879,0.0002754943,0.00002863046,0.0003763193,0.0001223884,0.00065245,0.0004102059,0.0002570533,0.00001116749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005889032,"about_ca_system_score_gemma":0.00007913481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009376236,"about_ca_topic_score_gemma":0.0006512955,"domain_scores_codex":[0.9981869,0.000003797437,0.0002891626,0.0009031284,0.0002894821,0.0003274681],"domain_scores_gemma":[0.999148,0.00001831021,0.0001456357,0.0003679142,0.0002714381,0.0000487377],"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":[0.000008911674,0.000007838764,0.0001238973,0.0002424816,0.000004715241,0.00000153013,0.0005651547,0.2514364,0.00001432561,0.001407922,0.000002001372,0.7461849],"study_design_scores_gemma":[0.0001051448,0.00001241289,0.0000228449,0.0003237156,0.00001900177,0.000001733958,0.000002763857,0.9804604,0.000003851334,0.01827603,0.0004511246,0.0003209477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002664512,0.001180917,0.9945222,0.0004375145,0.0001375428,0.0002523543,0.000001169413,0.0000842476,0.0007195962],"genre_scores_gemma":[0.95329,0.00005312885,0.04256338,0.003314301,0.0006841931,0.000009775027,0.00002476294,0.00003686007,0.00002358187],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9519588,"threshold_uncertainty_score":0.9999697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02549876165064062,"score_gpt":0.25340919748673,"score_spread":0.2279104358360894,"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."}}