{"id":"W7105847707","doi":"10.1109/jsen.2025.3631389","title":"Digital Twin-Based Virtual Sensing for Real-Time Process Monitoring of Marine Reciprocating Natural Gas Compressor Packages","year":2025,"lang":"","type":"article","venue":"IEEE Sensors Journal","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Science Foundation of China University of Petroleum, Beijing; Ministry of Industry and Information Technology of the People's Republic of China; China University of Petroleum, Beijing","keywords":"Reciprocating compressor; Scalability; Gas compressor; Process (computing); Interface (matter); Visualization; Data modeling; Software deployment; Data flow diagram","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":[0.000416078,0.0005997973,0.000367468,0.0003750566,0.0001636248,0.0006583818,0.0009941761,0.0002922885,0.001579789],"category_scores_gemma":[0.0008904625,0.0002757927,0.0004366498,0.0002653557,0.0003746808,0.00108863,0.0009319018,0.0004135287,0.0002336788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004212704,"about_ca_system_score_gemma":0.0005949031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001976809,"about_ca_topic_score_gemma":0.002428735,"domain_scores_codex":[0.9996923,0.00004437782,0.00001540599,0.00007653073,0.0001489382,0.0000224121],"domain_scores_gemma":[0.9997754,0.00006392534,0.00003126724,0.00005612923,0.00005492084,0.00001842701],"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":[0.0005975482,0.0002096754,0.01411449,0.0004884491,0.00009332227,0.0003681455,0.0006195683,0.4741745,0.3219953,0.01319947,0.00329762,0.1708419],"study_design_scores_gemma":[0.00001566867,0.00009674206,0.001136218,0.000008517414,0.00001842973,0.00005533443,0.00003941475,0.9453585,0.04940096,0.001310075,0.002530667,0.00002956948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1844454,0.000234175,0.806372,0.0001438901,0.00009667128,0.00007944435,0.0003424171,0.004989455,0.00329645],"genre_scores_gemma":[0.9200712,0.0001445489,0.07811913,0.00006138986,0.00001236085,0.00006957146,0.0002300426,0.0001113677,0.001180432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001976809,"threshold_uncertainty_score":0.005284905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01114231652349628,"score_gpt":0.2655444059057367,"score_spread":0.2544020893822404,"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."}}