{"id":"W2041079448","doi":"10.2118/173202-ms","title":"Numerical Simulation of Three-Hydrocarbon-Phase Flow with Robust Phase Identification","year":2015,"lang":"en","type":"article","venue":"","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Two-phase flow; Phase (matter); Identification (biology); Flow (mathematics); Computer science; Petroleum engineering; Mechanics; Geology; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00009779165,0.0000844754,0.0001089735,0.0000573649,0.00001430651,0.00001825008,0.00005825929,0.00003717332,0.00001728841],"category_scores_gemma":[0.00001574125,0.00007313074,0.00002157981,0.0001581231,0.00001291001,0.0001320522,0.000006452262,0.00005018024,0.00001164896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003926313,"about_ca_system_score_gemma":0.00001480335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002605505,"about_ca_topic_score_gemma":0.00002122525,"domain_scores_codex":[0.9994506,0.000005424661,0.0001895633,0.0001018091,0.0001466067,0.0001059599],"domain_scores_gemma":[0.9996513,0.00001863089,0.00002625535,0.0001657828,0.00006515349,0.00007289919],"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":[0.00002557879,0.00007337095,0.00005777354,0.00001454746,0.00001629338,0.000001577382,0.0000831148,0.9895046,0.00460301,0.0001983147,0.00006554276,0.005356327],"study_design_scores_gemma":[0.001476797,0.00009344768,0.00003931604,0.000009829972,0.00001527353,0.000001494026,0.00001866922,0.9960515,0.001999807,0.0001114728,0.00008451862,0.0000978135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.250058,0.00004514567,0.7482738,0.000008581397,0.00008701637,0.00008630454,0.000003428837,0.0001083401,0.001329336],"genre_scores_gemma":[0.9941874,0.000001848396,0.005662272,0.000005339669,0.00003456829,0.000005516787,0.00003590408,0.00002124089,0.00004593449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7441294,"threshold_uncertainty_score":0.2982185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02615185347728037,"score_gpt":0.2608496031269292,"score_spread":0.2346977496496488,"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."}}