{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009059323,0.0006661479,0.0004198147,0.0005877942,0.0002792322,0.0007602558,0.001667975,0.0006253371,0.003235033],"category_scores_gemma":[0.001682002,0.000364714,0.0003225211,0.0004397079,0.0005799455,0.001929251,0.001569722,0.001068591,0.0008778073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006971565,"about_ca_system_score_gemma":0.0009081024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0016651,"about_ca_topic_score_gemma":0.001809895,"domain_scores_codex":[0.9994491,0.00009988914,0.00002507277,0.0001468287,0.0002425947,0.00003664018],"domain_scores_gemma":[0.9992749,0.0001806101,0.00009155546,0.0002406442,0.00014133,0.00007098973],"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":[0.00090426,0.0003943971,0.01966254,0.0003595694,0.0000764078,0.000297968,0.0002100609,0.4506978,0.05241024,0.01132547,0.01680908,0.4468521],"study_design_scores_gemma":[0.00003027304,0.0001316319,0.00172047,0.00002820958,0.00001113897,0.00005822478,0.00002131671,0.9544418,0.02378759,0.003180476,0.01655615,0.0000327026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08398208,0.0003726693,0.8766964,0.0008802933,0.0003100585,0.0001908225,0.001351791,0.0269117,0.009304156],"genre_scores_gemma":[0.7618061,0.0001870925,0.2323074,0.0003887787,0.00005054021,0.0001744187,0.001486115,0.0003363309,0.003263246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003235033,"threshold_uncertainty_score":0.0108223,"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."}}