{"id":"W4385813982","doi":"10.1016/j.cie.2023.109534","title":"General purpose digital twin framework using digital shadow and distributed system concepts","year":2023,"lang":"en","type":"article","venue":"Computers & Industrial Engineering","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Mitacs","keywords":"Generality; Computer science; Industrial engineering; Replica; Shadow (psychology); Distributed computing; Product (mathematics); Systems engineering; Software engineering; 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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00009711875,0.0004088438,0.0003944141,0.0002791117,0.00008518531,0.001062092,0.0002795566,0.0004288481,0.000009169408],"category_scores_gemma":[0.00008029724,0.0004763359,0.0001091347,0.0009286499,0.00005806229,0.001397088,0.0001285781,0.0006435937,0.0001140835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002632769,"about_ca_system_score_gemma":0.00003261161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002630565,"about_ca_topic_score_gemma":4.194256e-8,"domain_scores_codex":[0.9982114,0.000008269341,0.0005446535,0.0003038039,0.0003035493,0.0006283011],"domain_scores_gemma":[0.9991594,0.0001952037,0.00004755338,0.0002584081,0.00003869089,0.0003007411],"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":[0.000007597546,0.000008500567,0.0005666547,0.0001377827,0.0001130057,0.00006350539,0.00014681,0.9826959,0.0001678503,0.001476095,0.001243242,0.01337302],"study_design_scores_gemma":[0.0008598203,0.00003315121,0.0002036615,0.0006624235,0.00002128623,0.00009705758,0.0002632989,0.9865283,0.0003243248,0.00003427051,0.01032324,0.0006491136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6956615,0.00006594664,0.2943664,0.00002821305,0.004179497,0.0004578783,0.0005646557,0.003507042,0.001168821],"genre_scores_gemma":[0.9978358,0.000003794761,0.0006863956,0.000006586517,0.001035048,0.00001840803,0.0002868629,0.00009212603,0.00003503953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3021742,"threshold_uncertainty_score":0.9999749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02802084674444398,"score_gpt":0.2305142916069548,"score_spread":0.2024934448625108,"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."}}