{"id":"W4254967493","doi":"10.32920/16645339.v1","title":"Low Reynolds Number Scaling Eeffects For Small-Scale Rotors","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Reynolds number; Chord (peer-to-peer); Wind tunnel; Mechanics; Scaling; Aerodynamics; Mathematics; Lift coefficient; Pitching moment; Physics; Geometry; Angle of attack; Turbulence; Computer science","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":[0.0005673141,0.0004983948,0.0003109752,0.0005550634,0.000273711,0.0004753522,0.0004269829,0.0003334838,0.002459981],"category_scores_gemma":[0.003924065,0.0001702439,0.0002920378,0.000243748,0.0006113633,0.0006990873,0.0002523091,0.0005068731,0.0006361922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002322176,"about_ca_system_score_gemma":0.0001970877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006515613,"about_ca_topic_score_gemma":0.0007407438,"domain_scores_codex":[0.9996486,0.0000459076,0.00002834645,0.00006131989,0.0001854945,0.0000302737],"domain_scores_gemma":[0.9979818,0.0009727487,0.0003296449,0.0003017509,0.0003711466,0.00004280435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003285847,0.0003522366,0.02550195,0.0005990256,0.00002318141,0.0008317665,0.0005003586,0.1233403,0.6980029,0.01967714,0.003663625,0.1271788],"study_design_scores_gemma":[0.00006407894,0.0009775118,0.03104454,0.0001041131,0.00002137757,0.0006773474,0.0001306573,0.6778376,0.2737308,0.006439533,0.008881141,0.00009121317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8070069,0.001037979,0.173898,0.0002066059,0.0002002184,0.0002498764,0.0002944657,0.001627032,0.01547899],"genre_scores_gemma":[0.976727,0.0002077939,0.02156486,0.00001873858,0.00002036857,0.00008203119,0.0001456404,0.0001028545,0.001130764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002459981,"threshold_uncertainty_score":0.008229434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412706691061205,"score_gpt":0.2419710541143249,"score_spread":0.2278439872037129,"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."}}