{"id":"W2193166545","doi":"10.1115/1.4031200","title":"Axial Power and Coolant-Temperature Profiles for a Non-Re-Entrant Pressure-Tube Supercritical Water-Cooled Reactor Fuel Channel","year":2015,"lang":"en","type":"article","venue":"Journal of Nuclear Engineering and Radiation Science","topic":"Heat transfer and supercritical fluids","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Office of Energy Research and Development; Natural Sciences and Engineering Research Council of Canada; Natural Resources Canada; Atomic Energy of Canada Limited","keywords":"Coolant; Neutron transport; Materials science; Thermal hydraulics; Heat transfer; Supercritical fluid; Mechanics; Pressure drop; Nuclear engineering; Thermodynamics; Neutron; Nuclear physics; Physics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001492081,0.0002851439,0.0003270158,0.0005524707,0.0005055146,0.0005043552,0.0005278687,0.0003962152,0.003404769],"category_scores_gemma":[0.000516853,0.0002115547,0.0002581425,0.0006342134,0.0005355516,0.0003683074,0.0002619135,0.000403346,0.0002785903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001261147,"about_ca_system_score_gemma":0.001034213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007128894,"about_ca_topic_score_gemma":0.004646925,"domain_scores_codex":[0.9998897,0.000008911824,0.000004136004,0.00002175544,0.00003856852,0.000036777],"domain_scores_gemma":[0.9996606,0.0001487253,0.00005359673,0.00002170544,0.00008117266,0.0000341356],"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":[0.000975785,0.0001910546,0.01008072,0.0001257956,0.00001980265,0.0003267551,0.0002366034,0.8629175,0.1087136,0.00578197,0.001615412,0.009014848],"study_design_scores_gemma":[0.00006830772,0.0002218616,0.008024176,0.00001160333,0.000008964153,0.0000579072,0.0001246031,0.9168724,0.07288259,0.0006937409,0.0009935152,0.00004031148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871967,0.00005764463,0.006227427,0.00005531379,0.000007253639,0.00002199135,0.0007875275,0.0002730332,0.005373046],"genre_scores_gemma":[0.9959364,0.0000312438,0.002066869,0.00000582966,0.000001355067,0.00001803255,0.0003761785,0.00004930368,0.001514911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007128894,"threshold_uncertainty_score":0.01417482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0098394152342643,"score_gpt":0.2250022502732197,"score_spread":0.2151628350389554,"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."}}