{"id":"W2898150712","doi":"10.1115/fedsm2018-83260","title":"Using CFD Simulations to Improve the Air-Cooled Steam Condenser Performance in Severe Windy Conditions via Proper Tuning of Blades Pitch Angles","year":2018,"lang":"en","type":"article","venue":"","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Condenser (optics); Heat exchanger; Heat transfer; Work (physics); Thermal; Airflow; Mechanical engineering; Convective heat transfer; Nuclear engineering; Engineering; Mechanics; Meteorology","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":[0.0003118766,0.000628954,0.0006861034,0.0004237595,0.00062575,0.0008225125,0.0004388537,0.0009871649,0.002638864],"category_scores_gemma":[0.001049786,0.0002940636,0.0008755444,0.000451407,0.0004448623,0.0005623341,0.0003918723,0.0007851491,0.0003199531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005114456,"about_ca_system_score_gemma":0.0009182194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01703342,"about_ca_topic_score_gemma":0.01219577,"domain_scores_codex":[0.9998608,0.00002632718,0.00001048236,0.00001892359,0.00004180619,0.00004166079],"domain_scores_gemma":[0.9996268,0.0002098266,0.00003361543,0.00002500804,0.0000781756,0.00002656381],"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":[0.00009615063,0.00007633784,0.003689463,0.0001465602,0.00002072541,0.0001825198,0.00009728959,0.9826797,0.00534362,0.001411036,0.0009919073,0.005264665],"study_design_scores_gemma":[0.00001793902,0.00002925951,0.0006598092,0.00001139826,0.000007003429,0.00001021431,0.00003915478,0.9966767,0.001608254,0.0002097101,0.0007218114,0.000008810772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9137707,0.0008975553,0.04201799,0.0009361178,0.0003492402,0.0001498244,0.001633847,0.0008312921,0.03941349],"genre_scores_gemma":[0.9877338,0.0002577263,0.008714616,0.00005474086,0.00002055272,0.00005527668,0.0004205479,0.00006689041,0.002675788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01703342,"threshold_uncertainty_score":0.03386855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02055355708361974,"score_gpt":0.2554063469233931,"score_spread":0.2348527898397734,"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."}}