{"id":"W1587953952","doi":"10.1007/978-3-642-16901-4_10","title":"Compensable WorkFlow Nets","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University","funders":"Natural Sciences and Engineering Research Council of Canada; Atlantic Canada Opportunities Agency","keywords":"Workflow; Computer science; Workflow management system; Business process; Software engineering; Workflow technology; Petri net; Business process management; Workflow engine; Business process modeling; Windows Workflow Foundation; Robustness (evolution); Programming language; Database; Work in process; Operations management; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00146933,0.0007859171,0.0006274781,0.001159737,0.001237842,0.002114525,0.001773624,0.0008938126,0.01585659],"category_scores_gemma":[0.003433557,0.0005595205,0.001036586,0.001143047,0.001270931,0.003860612,0.001999593,0.002336727,0.00274504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001770174,"about_ca_system_score_gemma":0.00194956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003138192,"about_ca_topic_score_gemma":0.00331639,"domain_scores_codex":[0.9988041,0.000214352,0.0001112895,0.0003290241,0.0003857287,0.0001554444],"domain_scores_gemma":[0.9985086,0.0004282673,0.00008948865,0.0005827026,0.000288834,0.000102022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001009414,0.00003958534,0.0002656449,0.00007709571,0.00001524074,0.0001151499,0.0001021412,0.01094982,0.001707924,0.9076294,0.005650953,0.07334611],"study_design_scores_gemma":[0.0000275214,0.00002582414,0.000138009,0.00003419776,0.00002625825,0.0001262074,0.00003900456,0.05050597,0.002640437,0.9022613,0.04415978,0.00001557828],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01261819,0.000527182,0.9228081,0.000608755,0.0003316842,0.0001134428,0.0005193832,0.001968534,0.06050477],"genre_scores_gemma":[0.4229874,0.001364456,0.4505859,0.0004374729,0.0002606536,0.0003081809,0.004047573,0.0009392579,0.1190692],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01585659,"threshold_uncertainty_score":0.05304557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01729907741219132,"score_gpt":0.2199746663251748,"score_spread":0.2026755889129834,"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."}}