{"id":"W2075407668","doi":"10.1115/gt2008-51530","title":"Performance Prediction of Centrifugal Impellers Using a Two-Zone Model","year":2008,"lang":"en","type":"article","venue":"","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Impeller; Centrifugal compressor; Range (aeronautics); Performance prediction; Centrifugal pump; Flow (mathematics); Gas compressor; Computer science; Mechanics; Mechanical engineering; Rotational speed; Simulation; Engineering; Physics; Aerospace engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003290473,0.00008350984,0.0000937212,0.00007884414,0.00005445722,0.000003236015,0.00004755074,0.00003833964,0.00004359116],"category_scores_gemma":[0.000001252809,0.00007824215,0.00002833304,0.0001417152,0.00002095927,0.0003697381,0.000009228522,0.00006536554,0.000005992663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000369162,"about_ca_system_score_gemma":0.00001793733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001070009,"about_ca_topic_score_gemma":0.000001429664,"domain_scores_codex":[0.9995133,0.000002648319,0.0001703949,0.00006950866,0.000106734,0.0001374072],"domain_scores_gemma":[0.9998169,0.000002970401,0.00002038195,0.0001007568,0.00002721644,0.00003175341],"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":[0.000007561456,0.000008831076,0.009087727,0.00002447397,0.000008425576,3.528718e-7,0.0001878873,0.9810122,0.009144949,0.000008294664,0.000146053,0.0003632012],"study_design_scores_gemma":[0.0003556327,0.00001553026,0.001731885,0.00001094216,0.000007662732,0.00001751985,0.00001002547,0.9840277,0.01372691,0.000001120306,0.0000252705,0.00006974488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8741103,0.00003790627,0.1207721,0.000001608689,0.0001069421,0.00006041072,0.00000606837,0.0001457527,0.004758845],"genre_scores_gemma":[0.9874396,0.000355879,0.01194299,0.00000806411,0.00004766521,0.000001637926,0.00001251209,0.00001559982,0.0001760571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1133292,"threshold_uncertainty_score":0.3190622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01783930445363742,"score_gpt":0.1931288433478434,"score_spread":0.175289538894206,"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."}}