{"id":"W4309344919","doi":"10.1109/smc53654.2022.9945095","title":"Constructing Digital Twins for IEC61499 Based Distributed Control Systems","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Construct (python library); Computer science; Architecture; Automation; Digital control; Control (management); Distributed computing; Set (abstract data type); Reference architecture; Software architecture; Engineering; Artificial intelligence; Computer network; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002472832,0.0002774366,0.0003271398,0.0001824711,0.0001669822,0.0007728501,0.0003862551,0.00009919094,0.0001369271],"category_scores_gemma":[0.00003797587,0.0003103751,0.0000888461,0.000125911,0.00007459641,0.0002865314,0.0000315141,0.0003441366,0.00002171149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003292931,"about_ca_system_score_gemma":0.00006859178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002702942,"about_ca_topic_score_gemma":0.000004858015,"domain_scores_codex":[0.9980561,0.00004720662,0.0006459253,0.0003017174,0.0006364295,0.0003125811],"domain_scores_gemma":[0.99903,0.0002555156,0.0001600885,0.0002042053,0.0002253288,0.0001248804],"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":[0.0002435154,0.0001924563,0.004127164,0.000754255,0.0007200345,0.00004039633,0.0003766161,0.4653156,0.0005648982,0.5057099,0.0182703,0.003684865],"study_design_scores_gemma":[0.00220628,0.0001819471,0.00007499362,0.0001732478,0.0000362244,0.00009524584,0.005511337,0.9092098,0.0001442158,0.0002664968,0.08157751,0.0005226599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.202368,0.0005727701,0.3086682,0.001042799,0.02708703,0.004522008,0.06164027,0.001462599,0.3926363],"genre_scores_gemma":[0.9971517,0.000009719023,0.00002663055,0.00005834833,0.0002374143,0.0005039122,0.0008649127,0.00004563096,0.001101788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7947837,"threshold_uncertainty_score":0.9999349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03479701560744958,"score_gpt":0.2453183827777518,"score_spread":0.2105213671703022,"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."}}