{"id":"W2028435021","doi":"10.2478/v10006-012-0003-z","title":"Signed directed graph based modeling and its validation from process knowledge and process data","year":2012,"lang":"en","type":"article","venue":"International Journal of Applied Mathematics and Computer Science","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Tsinghua National Laboratory for Information Science and Technology; University of Alberta; Suncor Energy Incorporated","keywords":"Transfer entropy; Computer science; Reachability; Data mining; Process (computing); Process modeling; Graph; Process mining; Theoretical computer science; Work in process; Artificial intelligence; Business process modeling; Business process; Engineering; Principle of maximum entropy","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":[],"consensus_categories":[],"category_scores_codex":[0.0004090629,0.00008225097,0.0001255327,0.0001421304,0.00005364037,0.0001652531,0.0003032304,0.00002378411,0.000001791644],"category_scores_gemma":[0.00001380777,0.00006800148,0.000009025018,0.000112644,0.00003067434,0.0004683595,0.00005840895,0.00006794271,6.372377e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001322756,"about_ca_system_score_gemma":0.00002510405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.647604e-7,"about_ca_topic_score_gemma":4.825981e-7,"domain_scores_codex":[0.9992633,0.000003371081,0.0002453236,0.0001080918,0.0002836735,0.00009627685],"domain_scores_gemma":[0.9994906,0.00004949539,0.00009464349,0.00007452182,0.0001973654,0.00009341145],"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":[0.0003625868,0.001531797,0.0009688115,0.002422718,0.001208198,0.00002069276,0.05969162,0.3645267,0.2221609,0.02305168,0.0003036987,0.3237506],"study_design_scores_gemma":[0.0003402517,0.00001023265,0.00004936993,0.00008374083,0.00001251511,0.00002370518,0.00009117454,0.9947551,0.003115614,0.001424562,0.00001642571,0.00007727568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6387299,0.0003404125,0.3602938,0.00001895148,0.0003779008,0.0000659605,0.000006336127,0.00002776118,0.0001389267],"genre_scores_gemma":[0.9902872,0.00002321446,0.009448851,0.00001511208,0.0002137578,0.000002855381,0.000002199232,0.000006389326,4.637491e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6302285,"threshold_uncertainty_score":0.277302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02301804833695827,"score_gpt":0.2716758739043831,"score_spread":0.2486578255674248,"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."}}