{"id":"W4411850991","doi":"10.4050/f-0081-2025-0087","title":"Performance Wind Tunnel Testing of an X2 Technology&amp;reg; Mach-Scaled Powered Model","year":2025,"lang":"en","type":"article","venue":"","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Mach number; Wind tunnel; Aerospace engineering; Marine engineering; Computer science; Engineering","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":[0.00006245407,0.0001275925,0.0001879666,0.0002847106,0.00004902489,0.000006872307,0.0002367483,0.0002348136,0.00002960718],"category_scores_gemma":[0.00004693949,0.0001265668,0.00002428138,0.0006744417,0.00007054598,0.0001336263,0.00005942226,0.0001948816,0.00002096569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003034976,"about_ca_system_score_gemma":0.00002254577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005054246,"about_ca_topic_score_gemma":0.00002221763,"domain_scores_codex":[0.9993307,0.000003349831,0.0002240446,0.0001573265,0.00006635827,0.0002182199],"domain_scores_gemma":[0.9995098,0.00001835623,0.00003335881,0.0003541193,0.00006048312,0.00002389087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001846685,0.0001338805,0.06579863,0.0003163427,0.000104909,0.000002537155,0.000191477,0.3122577,0.5308142,0.01208434,0.001392389,0.0768852],"study_design_scores_gemma":[0.0004119356,0.00004447879,0.003841119,0.00005971325,0.00001611463,0.000003895046,0.0001452899,0.8887453,0.1040008,0.002253772,0.0002871634,0.0001903981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964109,0.00008431604,0.01926924,0.0002272607,0.00006017944,0.0001077307,0.000004056362,0.001291042,0.01484715],"genre_scores_gemma":[0.9649799,0.00001944009,0.03307431,0.00003669145,0.00000682084,0.000008425908,0.000004900067,0.00001648383,0.001852953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5764876,"threshold_uncertainty_score":0.5161243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225822039659232,"score_gpt":0.2239658005563376,"score_spread":0.2117075801597452,"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."}}