{"id":"W2026157330","doi":"10.1155/2013/868163","title":"Application of the Critical Heat Flux Look-Up Table to Large Diameter Tubes","year":2013,"lang":"en","type":"article","venue":"Science and Technology of Nuclear Installations","topic":"Heat Transfer and Boiling Studies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Atomic Energy of Canada Limited; King Abdulaziz City for Science and Technology; Saudi Aramco; King Fahd University of Petroleum and Minerals","keywords":"Mechanics; Critical heat flux; Boiler (water heating); Heat flux; Tube (container); Materials science; Coolant; Flux (metallurgy); Heat transfer; Thermodynamics; Engineering; Mechanical engineering; Composite material; Physics; Metallurgy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0004043988,0.0006166576,0.0004386517,0.0006114708,0.000349413,0.0004181522,0.000677019,0.0005714254,0.001495789],"category_scores_gemma":[0.001993223,0.0003684642,0.0003919685,0.0004176905,0.0002326416,0.0004246609,0.0002154912,0.0003759078,0.00024231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003916139,"about_ca_system_score_gemma":0.0006988721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004712772,"about_ca_topic_score_gemma":0.002908366,"domain_scores_codex":[0.9998411,0.00003494068,0.00001241055,0.00003065476,0.00006337031,0.00001752119],"domain_scores_gemma":[0.9987017,0.0007881442,0.0001250085,0.00008849844,0.0002668915,0.0000297409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005352621,0.00009959938,0.03298712,0.0004093078,0.00003865006,0.001437987,0.0003064648,0.7009478,0.1526056,0.007286089,0.001617084,0.101729],"study_design_scores_gemma":[0.00002687878,0.0001997392,0.006070343,0.00002914399,0.00002545259,0.0001867024,0.00003488232,0.9321669,0.05863291,0.0007069453,0.001876741,0.00004340538],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4157692,0.0003980259,0.5735645,0.00009641574,0.00009427852,0.0002510414,0.0005468407,0.003857769,0.005421943],"genre_scores_gemma":[0.9126371,0.0001343867,0.08606835,0.0000148775,0.000008255039,0.00007590569,0.0001528776,0.0001102981,0.0007980441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004712772,"threshold_uncertainty_score":0.009370685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006546137607912582,"score_gpt":0.2263744438363429,"score_spread":0.2198283062284304,"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."}}