{"id":"W2104279714","doi":"10.2514/6.2005-4759","title":"A Novel, Low Reynolds Number Moment Balance Design for Micro Air Vehicle Research","year":2005,"lang":"en","type":"article","venue":"35th AIAA Fluid Dynamics Conference and Exhibit","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Reynolds number; Balance (ability); Moment (physics); Computational fluid dynamics; Computer science; Mechanics; Aerospace engineering; Engineering; Physics; Classical mechanics; Turbulence; Psychology","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":[0.0002161329,0.0004415024,0.0004351601,0.0005024823,0.0002900665,0.0005271289,0.0007506301,0.0003439341,0.002139112],"category_scores_gemma":[0.0003089861,0.0002601058,0.0002295986,0.0002132215,0.0002455202,0.0005353699,0.0004254451,0.0003032763,0.0005932477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003244513,"about_ca_system_score_gemma":0.0004455995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006296251,"about_ca_topic_score_gemma":0.0009296272,"domain_scores_codex":[0.9997115,0.00001787113,0.00001034323,0.0000579319,0.0001794507,0.00002291372],"domain_scores_gemma":[0.9998361,0.00001716309,0.00005083111,0.00001451371,0.00006313823,0.00001828067],"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":[0.0002964621,0.0002474441,0.001565918,0.00022947,0.00002606304,0.0001702673,0.00008400457,0.06654595,0.7921398,0.007575667,0.001199474,0.1299195],"study_design_scores_gemma":[0.0001409446,0.001870486,0.004075968,0.00002541664,0.00004685557,0.000329588,0.00004398878,0.7572379,0.2143227,0.002636882,0.01921528,0.00005398265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08812112,0.0001834147,0.9052081,0.00006614884,0.00006543202,0.0002139308,0.00007502404,0.0006494357,0.005417409],"genre_scores_gemma":[0.7304727,0.0002355356,0.2596942,0.00006478179,0.00006394237,0.0004859791,0.000227167,0.0001038341,0.008651881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002139112,"threshold_uncertainty_score":0.007156074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0295078188164101,"score_gpt":0.2661923748529757,"score_spread":0.2366845560365656,"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."}}