{"id":"W4317651246","doi":"10.2514/6.2023-2494","title":"Novel Approach to Characterizing Tare &amp; Interference Effects on the Lockheed Martin CRANE Wind Tunnel Model","year":2023,"lang":"en","type":"article","venue":"AIAA SCITECH 2023 Forum","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Wind tunnel; Aerodynamics; Interference (communication); Marine engineering; Subsonic and transonic wind tunnel; Engineering; Computational fluid dynamics; Moment (physics); Aerospace engineering; Scale model; Structural engineering; Physics; Electrical engineering; Channel (broadcasting)","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":[0.0003800209,0.0006121563,0.0003386085,0.0004564601,0.0004091002,0.000816267,0.00132578,0.0009253765,0.002461726],"category_scores_gemma":[0.001132912,0.0004800899,0.0004179041,0.0002405647,0.0003485067,0.0005306107,0.0008217797,0.001077835,0.0003852895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005132449,"about_ca_system_score_gemma":0.001073572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02107639,"about_ca_topic_score_gemma":0.01951681,"domain_scores_codex":[0.9997919,0.00003913583,0.000008078399,0.00003223269,0.0001028238,0.0000257668],"domain_scores_gemma":[0.9996907,0.00007768538,0.00004496917,0.00005562216,0.0001073561,0.00002380204],"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":[0.000101511,0.0001386569,0.003716185,0.0000730104,0.00002858435,0.0001747614,0.0001054211,0.9298131,0.0408458,0.006958351,0.00118761,0.01685693],"study_design_scores_gemma":[0.00000425217,0.00001428241,0.0003687725,0.000003666302,0.000001904519,0.00001243529,0.000007851278,0.997612,0.001384854,0.0001394897,0.0004443636,0.000006070076],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.147097,0.0001267413,0.8378331,0.0001972558,0.0000395513,0.000229593,0.000680072,0.001469405,0.0123272],"genre_scores_gemma":[0.830865,0.0001274241,0.1620979,0.00007242117,0.00001664191,0.0003101917,0.0005410626,0.0002493932,0.005719907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02107639,"threshold_uncertainty_score":0.04190743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02354046704170281,"score_gpt":0.2235502093519727,"score_spread":0.2000097423102699,"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."}}