{"id":"W4404564475","doi":"10.1016/j.tsep.2024.103059","title":"Effect of foulant on temperature and steam quality profiles in once-through steam generator tubes","year":2024,"lang":"en","type":"article","venue":"Thermal Science and Engineering Progress","topic":"Nuclear Engineering Thermal-Hydraulics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada's Oil Sands Innovation Alliance; Canada First Research Excellence Fund","keywords":"Boiler (water heating); Heat recovery steam generator; Vapor quality; Superheated steam; Surface condenser; Steam drum; Steam-electric power station; Materials science; Waste management; Environmental science; Nuclear engineering; Thermal power station; Thermodynamics; Heat transfer; Power (physics); Combined cycle; Engineering; Heat transfer coefficient; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001429845,0.0005102975,0.0005220825,0.0002808478,0.0003866772,0.0007433096,0.0004963032,0.001049983,0.001033501],"category_scores_gemma":[0.0005889126,0.0002569591,0.00074029,0.0002041669,0.0003891299,0.0003967096,0.0003495799,0.0004202203,0.0001521765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007112561,"about_ca_system_score_gemma":0.0006818268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0192453,"about_ca_topic_score_gemma":0.00800977,"domain_scores_codex":[0.9999158,0.00001416652,0.000004532565,0.00002026576,0.00002391988,0.00002120508],"domain_scores_gemma":[0.999751,0.0001040757,0.00005194054,0.00001976425,0.00004508474,0.00002810069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001271204,0.0000598644,0.003768356,0.0000374112,0.00001317748,0.0001656387,0.00004683421,0.969964,0.02309368,0.0003001865,0.0001065053,0.002317392],"study_design_scores_gemma":[0.000007098147,0.00004995912,0.001196959,0.000003682537,0.000006643648,0.0000142186,0.00001633322,0.9926637,0.005873691,0.00004441706,0.0001151714,0.00000798667],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797544,0.0001452118,0.01730563,0.0000672012,0.00002116129,0.00003321793,0.0002721669,0.0002172822,0.002183802],"genre_scores_gemma":[0.9962482,0.00007541505,0.002479167,0.000009859714,0.000002334315,0.00002212423,0.0001481654,0.00002057223,0.0009940714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0192453,"threshold_uncertainty_score":0.03826654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006947466675001674,"score_gpt":0.25654250758507,"score_spread":0.2495950409100683,"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."}}