{"id":"W2892889596","doi":"10.1115/omae2018-77190","title":"Multiphase Flow in a Subsea Hilly Terrain","year":2018,"lang":"en","type":"article","venue":"","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Multiphase flow; Flow assurance; Slug flow; Flow (mathematics); Stratified flow; Flow measurement; Subsea; Two-phase flow; Volumetric flow rate; Environmental science; Mechanics; Petroleum engineering; Materials science; Geology; Geotechnical engineering; Physics; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.00005442965,0.00009112254,0.00008469436,0.0001328786,0.00001128519,0.00001133809,0.0001085338,0.00007363506,0.00008650344],"category_scores_gemma":[0.00003764019,0.00008248233,0.00001874677,0.0001768579,0.00003336573,0.00004901321,0.00001850281,0.0001026584,0.0001151574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002954168,"about_ca_system_score_gemma":0.000002877131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001660111,"about_ca_topic_score_gemma":0.00013758,"domain_scores_codex":[0.9995632,0.000002382217,0.00009673825,0.00009079999,0.00004965282,0.0001972049],"domain_scores_gemma":[0.9997747,0.00001591656,0.000003001634,0.0001715733,0.000008914222,0.00002590256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002890771,0.0001867915,0.01043605,0.000192016,0.0001191675,0.0001944594,0.003125854,0.1768215,0.06330078,0.004614383,0.03773542,0.7032446],"study_design_scores_gemma":[0.0004667622,0.00005772401,0.00272422,0.00002715247,0.000002197893,0.000006753445,0.0001240372,0.9415041,0.03881425,0.0002587608,0.01574893,0.0002650772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9104296,0.0001954757,0.061277,0.0001467317,0.0005195421,0.0001084231,0.000004673126,0.003965235,0.0233533],"genre_scores_gemma":[0.9762278,0.00001188351,0.02350523,0.00001384293,0.00006459545,0.00001002636,0.000001872036,0.00001872158,0.0001459792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7646826,"threshold_uncertainty_score":0.3363532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005754227588293177,"score_gpt":0.1966504294047852,"score_spread":0.190896201816492,"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."}}