{"id":"W7117145993","doi":"10.2139/ssrn.5960261","title":"Real-Time Data Synchronization Mechanism for Digital Twins Implementation: Application to a Smart Warehouse System","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Synchronizing; Synchronization (alternating current); Data synchronization; Latency (audio); Mechanism (biology); Time synchronization","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001307069,0.0003949164,0.0005314383,0.0009211659,0.0006691786,0.00126915,0.001789522,0.0007376338,0.005343535],"category_scores_gemma":[0.00292766,0.0002617378,0.0002296549,0.0008894565,0.0003910167,0.001188241,0.0008749415,0.0006897841,0.0007877102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005339824,"about_ca_system_score_gemma":0.0008907625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00236882,"about_ca_topic_score_gemma":0.001720843,"domain_scores_codex":[0.999316,0.000159838,0.00008253044,0.0001319728,0.000194998,0.0001145972],"domain_scores_gemma":[0.9982462,0.000433555,0.0001570377,0.0005050316,0.0005172487,0.0001409017],"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":[0.006781098,0.001976246,0.01442379,0.0006322538,0.0002479325,0.002251008,0.002607558,0.0336402,0.3522318,0.02442731,0.01932762,0.5414531],"study_design_scores_gemma":[0.0008868112,0.001885283,0.005649328,0.00006887251,0.000310895,0.0008106544,0.0006970293,0.5302328,0.4249856,0.004001888,0.03032933,0.0001414322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5275117,0.0004218047,0.4422056,0.0006275813,0.000377323,0.0005020995,0.0003162375,0.02053568,0.007502059],"genre_scores_gemma":[0.9490758,0.00007803266,0.0459604,0.0001074633,0.0000437461,0.00007398129,0.0001307843,0.0001913145,0.004338471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005343535,"threshold_uncertainty_score":0.01787585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478670071853405,"score_gpt":0.2737554859139744,"score_spread":0.2589687851954403,"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."}}