{"id":"W4407058311","doi":"10.1515/auto-2024-0036","title":"Quantifying and combining uncertainty for improving the behavior of Digital Twin Systems","year":2025,"lang":"en","type":"article","venue":"at - Automatisierungstechnik","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Poul Due Jensens Fond","keywords":"Replica; Computer science; Physical system; Representation (politics); Property (philosophy); Focus (optics)","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":[0.0002117024,0.0001715332,0.000240934,0.0001207894,0.0001359244,0.0001983383,0.0002155249,0.0001409971,0.000003498878],"category_scores_gemma":[0.00005462301,0.000144844,0.00006441416,0.0002471656,0.00009187081,0.0004227519,0.00007153352,0.0001427526,0.000003561775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001025748,"about_ca_system_score_gemma":0.00002239614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001649055,"about_ca_topic_score_gemma":0.000003925463,"domain_scores_codex":[0.9989605,0.000008673678,0.0004917549,0.0001466039,0.000152797,0.0002397007],"domain_scores_gemma":[0.9992585,0.0003001657,0.00008065837,0.0002707795,0.00005376526,0.00003614862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001059747,0.0002795245,0.04556875,0.02087166,0.0009268664,0.00001890142,0.004311033,0.0660735,0.07516914,0.1698462,0.01669674,0.6001318],"study_design_scores_gemma":[0.003054181,0.000220653,0.0102317,0.002013119,0.0004263971,0.000119242,0.005549387,0.9253886,0.03279665,0.0006939349,0.0182671,0.001238975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9545607,0.001002345,0.02662344,0.00006235939,0.0009030961,0.002281191,0.0003676962,0.001306603,0.01289258],"genre_scores_gemma":[0.9988453,0.000006494474,0.0003874617,0.000009356217,0.00001277008,0.000493365,0.00002758353,0.00002802986,0.0001896097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8593152,"threshold_uncertainty_score":0.5906565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02180156760655113,"score_gpt":0.2589041510693941,"score_spread":0.237102583462843,"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."}}