{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008752287,0.0007121388,0.0003900197,0.0005093094,0.0002209373,0.0006022445,0.0003638566,0.0005753135,0.001147369],"category_scores_gemma":[0.007121024,0.0002928969,0.0002955054,0.0006814643,0.0004337636,0.001041908,0.0003461445,0.0005432043,0.0004049869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000296873,"about_ca_system_score_gemma":0.0001508758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004347963,"about_ca_topic_score_gemma":0.000416847,"domain_scores_codex":[0.9993333,0.0001344205,0.00008918838,0.0001515446,0.0002187965,0.00007263962],"domain_scores_gemma":[0.9953495,0.002879761,0.0004004529,0.0007525678,0.0005482017,0.0000695546],"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":[0.002004425,0.0005829007,0.05877173,0.0007885296,0.0001430052,0.001460308,0.0007008423,0.4445272,0.3625263,0.001423268,0.001741841,0.1253297],"study_design_scores_gemma":[0.00009693365,0.003992455,0.07293157,0.0001028621,0.0001649699,0.001103381,0.0007048899,0.3003429,0.6104267,0.001422389,0.008523708,0.0001871575],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892409,0.0004875319,0.007223256,0.0001050819,0.00004358019,0.00003281966,0.0002510827,0.0004283425,0.002187311],"genre_scores_gemma":[0.9986884,0.00008548092,0.0009748259,0.00000871016,0.000003452419,0.00001376869,0.0000816112,0.00002751985,0.0001161966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001147369,"threshold_uncertainty_score":0.004628718,"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."}}