{"id":"W2118582892","doi":"10.1115/1.3008038","title":"Numerical Calculation of Shear Stress Distribution on the Inner Wall Surface of CANDU Reactor Feeder Pipe Conveying Two-Phase Coolant","year":2008,"lang":"en","type":"article","venue":"Journal of Pressure Vessel Technology","topic":"Nuclear Engineering Thermal-Hydraulics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coolant; Computational fluid dynamics; Shear stress; Turbulence; Mechanics; Boiler feedwater; Two-phase flow; Hydraulics; Materials science; Reactor pressure vessel; Flow (mathematics); Nuclear engineering; Structural engineering; Engineering; Boiler (water heating); Mechanical engineering; Physics; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001603936,0.0003929755,0.0003597394,0.0003957174,0.0004342292,0.000399357,0.000460251,0.0006857276,0.001013672],"category_scores_gemma":[0.0004269359,0.0002065885,0.0004782585,0.0003612717,0.0004470507,0.0001967414,0.0002288653,0.0002709182,0.00009548236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005585015,"about_ca_system_score_gemma":0.000585926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01652847,"about_ca_topic_score_gemma":0.008141441,"domain_scores_codex":[0.9999452,0.000007961434,0.000003078711,0.00001143424,0.00001837325,0.00001397248],"domain_scores_gemma":[0.9998223,0.00007677755,0.00002713899,0.00001240582,0.00004300239,0.00001836685],"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":[0.0001075668,0.00004315485,0.007648019,0.0000513124,0.00001626,0.0003122671,0.0001096941,0.9620959,0.02359676,0.0006019949,0.0001667047,0.005250367],"study_design_scores_gemma":[0.000008904802,0.00003088147,0.002353777,0.000002943558,0.000003165955,0.00001881994,0.00003253683,0.9946696,0.002714295,0.00006017937,0.00009780109,0.000007006597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844125,0.00005447298,0.01265743,0.00005008408,0.00001524185,0.00001781278,0.0001503058,0.0001591423,0.002483071],"genre_scores_gemma":[0.9942372,0.00004452924,0.004780924,0.000005995255,0.000002344189,0.00001494608,0.00009701548,0.00001188131,0.0008051377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01652847,"threshold_uncertainty_score":0.03286451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143478783713057,"score_gpt":0.2315583283107459,"score_spread":0.2201235404736153,"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."}}