{"id":"W2792450916","doi":"10.1016/j.nucengdes.2018.02.031","title":"An overview of measurements, data compilations and prediction methods for the critical heat flux in water-cooled tubes","year":2018,"lang":"en","type":"article","venue":"Nuclear Engineering and Design","topic":"Heat Transfer and Boiling Studies","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Nuclear Laboratories; University of Ottawa","funders":"","keywords":"Critical heat flux; Tube (container); Materials science; Water cooled; Heat flux; Nuclear engineering; Thermodynamics; Mechanical engineering; Heat transfer; Engineering; Water cooling; Physics; Composite material","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":[0.00470381,0.002525119,0.002081695,0.006911742,0.001151738,0.002605165,0.003644542,0.00138405,0.003620479],"category_scores_gemma":[0.009066704,0.001683298,0.001901815,0.007954507,0.0006130245,0.003102263,0.001092772,0.001817997,0.003098698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001464593,"about_ca_system_score_gemma":0.002087435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008819759,"about_ca_topic_score_gemma":0.005911846,"domain_scores_codex":[0.9969054,0.0003477687,0.000341851,0.0006920639,0.001580362,0.0001325075],"domain_scores_gemma":[0.9920483,0.002748583,0.0006314836,0.001769709,0.002672785,0.0001290286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009386165,0.0005930313,0.02939597,0.01290687,0.0005997026,0.0002259746,0.0006934208,0.07282957,0.06326615,0.009655578,0.05794558,0.7509496],"study_design_scores_gemma":[0.0001599578,0.0006600624,0.04376205,0.003288868,0.0007795078,0.0006873853,0.0003851922,0.1725787,0.3652786,0.008519765,0.4031036,0.000796353],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.06688761,0.05255088,0.7396999,0.0007968715,0.0008759971,0.0009592152,0.07753858,0.04404045,0.01665049],"genre_scores_gemma":[0.2401709,0.05313207,0.5988023,0.0005826419,0.0009837198,0.002699052,0.08862124,0.009441401,0.005566592],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.008819759,"threshold_uncertainty_score":0.02487642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2174937532143821,"score_gpt":0.3779384577472228,"score_spread":0.1604447045328408,"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."}}