{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004044755,0.0005156932,0.0007359802,0.0007100905,0.0006431951,0.0007342002,0.0003806305,0.0003073334,0.00002723668],"category_scores_gemma":[0.0009273793,0.0005254176,0.0003466928,0.0006006419,0.0002143303,0.0005842248,0.00005674997,0.00100013,0.00000793737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002555482,"about_ca_system_score_gemma":0.0002289842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003903617,"about_ca_topic_score_gemma":7.433656e-7,"domain_scores_codex":[0.9971166,0.00007247708,0.001278584,0.0003997459,0.0004529558,0.0006796403],"domain_scores_gemma":[0.9973392,0.0007348501,0.0005911421,0.0003551886,0.000856517,0.000123096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004563924,0.0001704948,0.00397756,0.001432496,0.00080828,0.00009249476,0.0008043387,0.520933,0.3058877,0.0001193323,0.001676993,0.1636409],"study_design_scores_gemma":[0.001837661,0.0002486022,0.0008472122,0.002695228,0.0001394771,0.0001079227,0.001487339,0.396419,0.5944787,0.0008749624,0.0002708811,0.0005930731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778753,0.0002136703,0.01541744,0.0005799565,0.003150821,0.0004817102,0.00005662806,0.0004646472,0.001759842],"genre_scores_gemma":[0.9843938,0.0001461021,0.01323615,0.00001392884,0.0006458991,0.000007122413,0.00001981448,0.00007837216,0.001458804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.288591,"threshold_uncertainty_score":0.9997197,"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."}}