{"id":"W2149727728","doi":"10.1504/ijeb.2013.051417","title":"Evolution mechanisms for goal-driven pattern families used in business process modelling","year":2013,"lang":"en","type":"article","venue":"International Journal of Electronic Business","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Computer science; Traceability; Business process; Reusability; Business process modeling; Business domain; Artifact-centric business process model; Business rule; Domain (mathematical analysis); Business process discovery; Process management; Context (archaeology); Business process management; Process (computing); Business Process Model and Notation; Knowledge management; Data science; Software engineering; Business; Work in process; Marketing; Software","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004803076,0.0003130504,0.0004856155,0.001322783,0.0001107173,0.0004971368,0.0008972418,0.0001377489,0.00007732739],"category_scores_gemma":[0.0001921449,0.0002778113,0.0001735817,0.001399181,0.00004596524,0.00331948,0.00008206124,0.0002901263,0.00003031806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000289954,"about_ca_system_score_gemma":0.0003250573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001574817,"about_ca_topic_score_gemma":0.0002494198,"domain_scores_codex":[0.9974038,0.00001233013,0.00092237,0.0003368183,0.0007800603,0.0005446252],"domain_scores_gemma":[0.9912987,0.00005868791,0.0009489647,0.0001534773,0.007518505,0.0000216966],"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":[0.0002068646,0.0004092171,0.00785622,0.000344429,0.0002439359,0.00001543248,0.00009879872,0.9657683,0.002004914,0.009129615,0.0001619186,0.01376034],"study_design_scores_gemma":[0.002375054,0.00001704408,0.006182018,0.0005003724,0.0001392318,0.00003124736,0.0003674785,0.9122616,0.0001065856,0.07693836,0.0006326665,0.0004483428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3761843,0.0001612836,0.6197236,0.002998233,0.0006056186,0.0002152277,0.000002557762,0.00003560152,0.00007352323],"genre_scores_gemma":[0.9970869,0.00009116942,0.0006056309,0.0004474754,0.001547929,0.00007323872,0.00004864301,0.00005679454,0.00004225621],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6209025,"threshold_uncertainty_score":0.9999674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218314348172858,"score_gpt":0.2342451279434615,"score_spread":0.2220619844617329,"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."}}