{"id":"W2947847260","doi":"10.1007/978-3-030-19781-0_29","title":"Numerical Simulation of a Water Jet Impacting a Titanium Target","year":2019,"lang":"en","type":"book-chapter","venue":"Lecture notes in mechanical engineering","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Water jet; Jet (fluid); Titanium alloy; Smoothed-particle hydrodynamics; Displacement (psychology); Materials science; Mechanics; Finite element method; Computer simulation; Coupling (piping); Position (finance); Titanium; Particle (ecology); Mechanical engineering; Alloy; Structural engineering; Engineering; Composite material; Physics; Geology; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001852599,0.0004341193,0.0008495779,0.000635316,0.001022618,0.001124441,0.001188576,0.002260257,0.00739167],"category_scores_gemma":[0.0009639767,0.0004734907,0.0006774595,0.0007023552,0.001052535,0.0004815864,0.0007683756,0.0007853376,0.0004785992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135175,"about_ca_system_score_gemma":0.001167681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02452814,"about_ca_topic_score_gemma":0.01092917,"domain_scores_codex":[0.9998542,0.00001593133,0.000006889222,0.00001804125,0.00005567261,0.00004917276],"domain_scores_gemma":[0.9995209,0.0002678348,0.0000418155,0.00002197897,0.0000783773,0.00006908729],"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":[0.00008231543,0.00008623852,0.0008327383,0.00003551211,0.00001574643,0.0002516053,0.00004444588,0.992133,0.002748506,0.001336277,0.0003735213,0.00206014],"study_design_scores_gemma":[0.00001768631,0.00003992984,0.0003879369,0.000003240852,0.000004246273,0.00001950884,0.00003769022,0.9985551,0.0004877814,0.0002146606,0.0002248191,0.000007391527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8749733,0.0004449555,0.0429083,0.0008130636,0.0003394539,0.0001403402,0.000771079,0.0006139504,0.0789955],"genre_scores_gemma":[0.9844662,0.0001409016,0.00484164,0.00008669012,0.00002233014,0.00005464391,0.0002196826,0.00005866865,0.01010929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02452814,"threshold_uncertainty_score":0.04877073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008664099759938801,"score_gpt":0.2228987420919336,"score_spread":0.2142346423319948,"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."}}