{"id":"W2793947278","doi":"10.4043/28360-ms","title":"Investigation on Erosion Due to Fine Particles in Multiphase Flow","year":2018,"lang":"en","type":"article","venue":"Offshore Technology Conference Asia","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intecsea (Canada)","funders":"Universiti Teknologi Petronas","keywords":"Multiphase flow; Mechanics; Erosion; Flow (mathematics); Particle (ecology); Materials science; Computational fluid dynamics; Two-phase flow; Flow assurance; Flow conditions; Particle size; Fluid dynamics; Geotechnical engineering; Geology; Chemistry; Physics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001767959,0.0001512307,0.0001586999,0.000178559,0.0001161834,0.00002196196,0.0003120659,0.0001570282,0.001088495],"category_scores_gemma":[0.0002712024,0.000134517,0.00001892905,0.0006182059,0.0004807048,0.00009790863,0.0002193666,0.00022532,0.001865124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007361809,"about_ca_system_score_gemma":0.00001507602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006869702,"about_ca_topic_score_gemma":0.002248588,"domain_scores_codex":[0.9988631,0.00004169781,0.0002065869,0.0004133305,0.0001690981,0.0003061819],"domain_scores_gemma":[0.9994638,0.00002978972,0.00005312275,0.0003297032,0.00001816686,0.0001054451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004785631,0.00007866714,0.3127736,0.000002099239,0.000001993965,0.00002972538,0.0006368458,0.000139032,0.4956832,0.004158172,0.001953252,0.1844955],"study_design_scores_gemma":[0.0007919107,0.0008010297,0.2636355,0.0001466894,0.00000537805,0.00001352996,0.0003941803,0.02023947,0.7020907,0.0099921,0.001535814,0.0003536997],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878939,0.000003088996,0.001567159,0.00752129,0.00008088939,0.0002206488,0.000002870976,0.0001637376,0.002546415],"genre_scores_gemma":[0.9902712,0.000001320994,0.00891811,0.0006191829,0.00002032884,0.00004096182,0.000005712341,0.00001087479,0.0001122909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2064075,"threshold_uncertainty_score":0.9998246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03324380183151062,"score_gpt":0.2647995863849653,"score_spread":0.2315557845534547,"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."}}