{"id":"W4415777442","doi":"10.2118/229352-ms","title":"Virtual Mass Multiphase Flow Meter (vMPFM) – A Digital Future Enabled by AI/ML & PINN","year":2025,"lang":"","type":"article","venue":"","topic":"Flow Measurement and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BP (Canada)","funders":"","keywords":"Multiphase flow; Thermal mass flow meter; Wellhead; Mass flow meter; Flow measurement; Robustness (evolution); Metering mode; Mass flow; Calibration","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003504406,0.0009139915,0.0009530053,0.0005600129,0.0002641049,0.001019892,0.0005712592,0.0004921558,0.004669752],"category_scores_gemma":[0.0001362414,0.0008567352,0.0008255414,0.001462824,0.00007751187,0.001013705,0.0001408602,0.0007233674,0.0009351699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002816721,"about_ca_system_score_gemma":0.0001047628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004036374,"about_ca_topic_score_gemma":0.0000989234,"domain_scores_codex":[0.9961849,0.00007569981,0.0009869967,0.0009124206,0.0007538488,0.001086168],"domain_scores_gemma":[0.9982919,0.0001042096,0.00007829223,0.0009289549,0.0002429895,0.000353721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003540805,0.0009802419,0.001711834,0.0005648486,0.00796684,0.0000558455,0.0008052179,0.05573092,0.1657063,0.0006183658,0.6157137,0.1497918],"study_design_scores_gemma":[0.004065086,0.00009920459,0.00002255564,0.0002025273,0.001037104,0.000001750167,0.0005494216,0.443911,0.01683004,0.0001187018,0.5317608,0.001401755],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02101586,0.005579713,0.9228641,0.0038888,0.004086452,0.0008047522,0.0004556228,0.0008765769,0.04042817],"genre_scores_gemma":[0.8498546,0.0003363379,0.005820149,0.001072505,0.0009933865,0.00005930978,0.0004897272,0.0001316181,0.1412424],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9170439,"threshold_uncertainty_score":0.9998427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007080257476776338,"score_gpt":0.2133472630428398,"score_spread":0.2062670055660634,"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."}}