{"id":"W2049336137","doi":"10.1115/1.3082403","title":"Heat Transfer to Supercritical Water in a Horizontal Pipe: Modeling, New Empirical Correlation, and Comparison Against Experimental Data","year":2009,"lang":"en","type":"article","venue":"Journal of Heat Transfer","topic":"Heat transfer and supercritical fluids","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Supercritical fluid; Turbulence; Heat transfer; Forced convection; Convective heat transfer; Heat transfer coefficient; Mechanics; Buoyancy; Turbulent Prandtl number; Convection; Combined forced and natural convection; Thermodynamics; Materials science; Nusselt number; Natural convection; Physics; Reynolds number","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":[0.0008661911,0.0005096029,0.0003013757,0.0008639083,0.000262488,0.0003677318,0.0006570585,0.0004559229,0.0006070114],"category_scores_gemma":[0.001409447,0.000218474,0.000348898,0.001028707,0.000439919,0.0006698505,0.0002967794,0.0003351235,0.0001601382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005077563,"about_ca_system_score_gemma":0.0003093769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002660562,"about_ca_topic_score_gemma":0.001657753,"domain_scores_codex":[0.9997651,0.00005719269,0.00001779501,0.00004359751,0.00009608109,0.00002034129],"domain_scores_gemma":[0.9990977,0.0005047244,0.0000988036,0.0001379069,0.0001477997,0.0000129707],"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":[0.0003450983,0.0006919177,0.04863949,0.0003831554,0.00006240689,0.0001974033,0.0002752779,0.773643,0.1287636,0.002047704,0.0007042838,0.04424679],"study_design_scores_gemma":[0.00001315114,0.0002191636,0.01101355,0.000005985039,0.00001215571,0.00003551496,0.00003444448,0.9482353,0.03995474,0.0002172654,0.0002418398,0.00001701432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824449,0.000207538,0.01591202,0.00003126188,0.000005842769,0.00003654724,0.0002145083,0.0002836594,0.0008637668],"genre_scores_gemma":[0.9972783,0.00008948652,0.00234428,0.000001551411,0.000002647934,0.0000266996,0.0001287171,0.000008325242,0.0001200957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002660562,"threshold_uncertainty_score":0.005290151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04724527060987027,"score_gpt":0.3086539749228293,"score_spread":0.261408704312959,"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."}}