{"id":"W3048081559","doi":"10.1021/acsomega.0c02307","title":"Numerical Simulation of Polymer Dispersion Systems for Polymer Injection on Offshore Platforms","year":2020,"lang":"en","type":"article","venue":"ACS Omega","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"China National Offshore Oil Corporation","keywords":"Mixing (physics); Venturi effect; Materials science; Jet (fluid); Dispersion (optics); Polymer; Mechanics; Fluent; Turbulence; Computational fluid dynamics; Mechanical engineering; Composite material; Optics; Engineering","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":[0.00003458655,0.0001003032,0.0001457842,0.00005301891,0.00003426442,0.00001419775,0.00005927885,0.00007450578,0.000002261262],"category_scores_gemma":[0.00001709109,0.00008982728,0.00005524544,0.0001429144,0.000007872691,0.0001022275,0.000009840541,0.00007098331,0.000008499782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003734565,"about_ca_system_score_gemma":0.000005638282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000209659,"about_ca_topic_score_gemma":6.157281e-7,"domain_scores_codex":[0.9994459,0.000002982044,0.0001815896,0.0001173839,0.0001166895,0.000135429],"domain_scores_gemma":[0.999744,0.00005646333,0.00002957376,0.00009191904,0.00002163985,0.00005642642],"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":[0.00006545644,0.00001490725,0.0003608287,0.0001442038,0.0000324776,4.777339e-7,0.0003429422,0.97335,0.02132197,0.002061317,0.0003265786,0.001978827],"study_design_scores_gemma":[0.0002736459,0.0001664336,0.0001502554,0.00003162399,0.00001163826,7.360803e-7,0.00007418598,0.9814137,0.01733973,0.00001168977,0.0004179745,0.0001084547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9327931,0.0008821503,0.06492325,0.00005761116,0.0004787212,0.0002360424,0.00002377957,0.0001332101,0.0004721498],"genre_scores_gemma":[0.9996136,0.00001488801,0.00001876022,0.00005181097,0.0001544263,0.0000108335,0.0000345336,0.00003105094,0.00007012222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06682049,"threshold_uncertainty_score":0.366305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476458838126169,"score_gpt":0.2251508087542461,"score_spread":0.2103862203729844,"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."}}