{"id":"W2140236468","doi":"10.1002/cjce.21893","title":"Online monitoring, simulation and prediction of multiphase flows","year":2013,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multiphase flow; Transient (computer programming); Context (archaeology); Steady state (chemistry); Computer science; Flow (mathematics); Volumetric flow rate; Volume (thermodynamics); Population; Control theory (sociology); Model predictive control; Mechanics; Simulation; Control (management); Chemistry; Thermodynamics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004127891,0.000562478,0.0004993851,0.0003577999,0.0002503789,0.0005744562,0.0006202249,0.0007899495,0.001040986],"category_scores_gemma":[0.001066069,0.0002501114,0.0003420821,0.0002156725,0.0003619472,0.0004981438,0.0004603276,0.0004994315,0.0001311623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004142956,"about_ca_system_score_gemma":0.0005982204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003676377,"about_ca_topic_score_gemma":0.001655534,"domain_scores_codex":[0.9998061,0.00005255749,0.000009732197,0.0000379359,0.00006348841,0.00003013389],"domain_scores_gemma":[0.9992639,0.0004990126,0.00005959404,0.00007234491,0.00006428515,0.00004077143],"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":[0.0001302409,0.0001372136,0.002026372,0.0000327555,0.00001145365,0.00005989695,0.00002847764,0.9749171,0.01144895,0.0005092712,0.000128775,0.0105695],"study_design_scores_gemma":[0.000005131139,0.0000161246,0.0001597358,5.565586e-7,9.808738e-7,0.000002383638,0.000001257233,0.9975593,0.002147552,0.00006595891,0.00003964861,0.000001338133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7996702,0.00009284442,0.1950564,0.0001090777,0.00003533278,0.00008371093,0.0002599889,0.001970112,0.002722193],"genre_scores_gemma":[0.9846601,0.0000227289,0.01477807,0.000008222556,0.000002808801,0.00004738126,0.00007915225,0.00002190523,0.0003796215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003676377,"threshold_uncertainty_score":0.007309973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00814688613793155,"score_gpt":0.1896712786475163,"score_spread":0.1815243925095848,"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."}}