{"id":"W4309579801","doi":"10.1016/j.bcra.2022.100115","title":"TABS: Transforming automatically BPMN models into blockchain smart contracts","year":2022,"lang":"en","type":"article","venue":"Blockchain Research and Applications","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; Dalhousie University","funders":"Faculty of Graduate Studies, Dalhousie University","keywords":"Computer science; Smart contract; Business Process Model and Notation; Software engineering; Process (computing); Unified Modeling Language; Concurrency; Rewriting; Software; Business process; Distributed computing; Business process modeling; Programming language; Database transaction; Work in process; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001982367,0.0002123371,0.0002887128,0.0007002167,0.002697218,0.0003781368,0.0005364542,0.0000684344,0.0001751299],"category_scores_gemma":[0.00007968318,0.0002112526,0.00008341202,0.001992799,0.0002155884,0.000195331,0.0004234815,0.0005806676,0.00005262268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006189835,"about_ca_system_score_gemma":0.0001018002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001321602,"about_ca_topic_score_gemma":0.0001439055,"domain_scores_codex":[0.997362,0.0000404127,0.000430787,0.0005950492,0.0009161695,0.0006556371],"domain_scores_gemma":[0.9986892,0.0001810115,0.0001086507,0.0004251981,0.0005225396,0.00007341721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001501669,0.001782815,0.0008795759,0.001061293,0.0002150333,0.00002902271,0.0007845328,0.0895752,0.004457655,0.7357233,0.003037535,0.1623039],"study_design_scores_gemma":[0.0005283948,0.00002054911,0.00004592695,0.00002712632,0.00004273169,0.000005842951,0.001502151,0.7468154,0.00003842789,0.2016156,0.04906426,0.0002936668],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6933523,0.003580441,0.2234402,0.04282541,0.0001381998,0.004323928,0.00007092025,0.001341639,0.0309269],"genre_scores_gemma":[0.9947575,0.00003205824,0.0007132385,0.0007212532,0.0004838243,0.002450381,0.00005658145,0.00004398648,0.0007412203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6572402,"threshold_uncertainty_score":0.9986011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04840869679628022,"score_gpt":0.3014001733204431,"score_spread":0.2529914765241629,"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."}}