{"id":"W3216702545","doi":"","title":"Modeling and Verifying Timed Compensable Workflows and an Application to Health Care","year":2011,"lang":"en","type":"article","venue":"Lecture notes in computer science","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Workflow; Computer science; Software engineering; Reliability (semiconductor); Model checking; Semantics (computer science); Petri net; Workflow management system; Programming language; Formal verification; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003521126,0.0009158,0.0005031266,0.0009331582,0.0007437298,0.00153452,0.001561616,0.001446049,0.00177929],"category_scores_gemma":[0.00941114,0.0006466872,0.00155742,0.0008833329,0.002261359,0.001785717,0.001188228,0.001279735,0.0002224291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001457997,"about_ca_system_score_gemma":0.002413946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01273677,"about_ca_topic_score_gemma":0.008176665,"domain_scores_codex":[0.9974604,0.0009660393,0.0002849418,0.0004244701,0.0007263701,0.0001377978],"domain_scores_gemma":[0.9956363,0.00294964,0.0004987221,0.0004226587,0.0004006288,0.0000920934],"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":[0.00013057,0.00008409971,0.00122025,0.0002341554,0.00004455305,0.0007428193,0.0004329056,0.7959312,0.009763947,0.1559261,0.0006668617,0.03482251],"study_design_scores_gemma":[0.00003878271,0.00006046723,0.0001630177,0.00004054404,0.00002552264,0.0001406328,0.000045228,0.9384187,0.004327473,0.05249273,0.004229512,0.00001735903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007781811,0.0001035862,0.990476,0.0001186943,0.00003166901,0.00006764063,0.00005300684,0.0006409918,0.0007265339],"genre_scores_gemma":[0.3093587,0.000490954,0.687512,0.0000807895,0.00005614922,0.0002113104,0.0002232604,0.0001699921,0.001896955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01273677,"threshold_uncertainty_score":0.02532524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02675500333622475,"score_gpt":0.2615123976298007,"score_spread":0.2347573942935759,"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."}}