{"id":"W4388018877","doi":"10.3390/en16217331","title":"Effects of Parameter Scaling on Archimedes Screw Generator Performance","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Range (aeronautics); Scaling; Experimental data; Scale (ratio); Envelope (radar); Mechanical engineering; Performance prediction; Power (physics); Reference data; Scale model; Engineering; Simulation; Computer science; Aerospace engineering; Mathematics; Geometry; Physics; Data mining","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":[0.00006551381,0.00009118649,0.0001125195,0.0001435969,0.00002943021,0.0000143945,0.00008294847,0.00002664607,0.00001004034],"category_scores_gemma":[0.00004934724,0.00008666343,0.00003431122,0.0002229477,0.00002789385,0.00006252958,0.00002107735,0.00005960065,0.00009706808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001814813,"about_ca_system_score_gemma":0.000005069712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002001204,"about_ca_topic_score_gemma":4.836024e-7,"domain_scores_codex":[0.9994853,0.00001273232,0.0001261656,0.00008967199,0.0001286265,0.0001575019],"domain_scores_gemma":[0.9995414,0.0002731272,0.00001615682,0.0001267093,0.00001325697,0.00002932242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000005400724,0.000007314574,0.0002174991,0.000300427,0.00003130924,0.000002639135,0.0004968494,0.9082789,0.07802563,0.0009748396,0.001047011,0.01061214],"study_design_scores_gemma":[0.0002192345,0.00004922926,0.01708952,0.0001060289,0.000009804265,5.444521e-7,0.00004364925,0.065224,0.9153501,0.0002797925,0.001462347,0.0001657871],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979352,0.0001960896,0.00005981441,0.0000109837,0.0003751559,0.00005861798,0.000002896971,0.0003643088,0.0009968809],"genre_scores_gemma":[0.9984699,0.0001353033,0.001012826,0.00002609202,0.00008755663,0.0000407683,0.000006802562,0.00002789033,0.0001928474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.843055,"threshold_uncertainty_score":0.3534032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007976473356547184,"score_gpt":0.2021817734231495,"score_spread":0.1942053000666023,"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."}}