{"id":"W3016674436","doi":"10.2118/200500-pa","title":"Evaluation of Lyapunov-Based Observer Using Differential Mean Value Theorem for Multiphase Flow Characterization","year":2020,"lang":"en","type":"article","venue":"SPE Production & Operations","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Observer (physics); Control theory (sociology); Lyapunov function; Refinery; Multiphase flow; Differential (mechanical device); Flow (mathematics); Linear matrix inequality; Mathematics; Computer science; Applied mathematics; Control engineering; Mathematical optimization; Engineering; Mechanics; Nonlinear system; Physics; Environmental engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001209253,0.0003891623,0.0005261234,0.0003168197,0.000184774,0.0005568343,0.0004274617,0.0004375197,0.00106864],"category_scores_gemma":[0.002338775,0.0001823178,0.0002955263,0.0001073845,0.0002896976,0.0005310251,0.0003719981,0.0004043344,0.0001453455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000658148,"about_ca_system_score_gemma":0.0005267499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003068562,"about_ca_topic_score_gemma":0.002261737,"domain_scores_codex":[0.9995539,0.0001235792,0.00002843852,0.00008108973,0.0001726779,0.00004029656],"domain_scores_gemma":[0.9987483,0.0005393568,0.0001225703,0.0000986846,0.0004679619,0.00002318737],"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":[0.0004056672,0.0001139939,0.003953197,0.0003434732,0.00009373154,0.0001481821,0.0002154125,0.8170244,0.0663676,0.007593602,0.0006455756,0.1030952],"study_design_scores_gemma":[0.000009334419,0.00007330182,0.0004359634,0.000004083553,0.000005648619,0.000006066519,0.000006939749,0.9947215,0.004373305,0.000169082,0.0001900755,0.000004733783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07092776,0.0001320609,0.9263421,0.00005806737,0.00004105787,0.00005097114,0.00002373912,0.0005460111,0.001878211],"genre_scores_gemma":[0.9714984,0.00004372142,0.02761568,0.00001217418,0.000005502836,0.00005237817,0.00003445145,0.00001254249,0.0007250847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003068562,"threshold_uncertainty_score":0.006395221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05625101129518476,"score_gpt":0.2771012315477657,"score_spread":0.2208502202525809,"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."}}