{"id":"W2296521130","doi":"10.4271/2016-01-1588","title":"Integrated Aero-Thermal Testing of a Race Car in a Full Scale Climatic Wind Tunnel","year":2016,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wind tunnel; Full scale; Scale (ratio); Race (biology); Thermal; Environmental science; Aerospace engineering; Marine engineering; Engineering; Automotive engineering; Meteorology; Structural engineering; Geology; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009205127,0.0007119292,0.001091539,0.0003963566,0.0001365248,0.00006116725,0.001097561,0.0007659281,0.000233674],"category_scores_gemma":[0.00114546,0.000534039,0.0003120219,0.001455589,0.001095146,0.000392743,0.0004078554,0.001292293,0.000088511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000598502,"about_ca_system_score_gemma":0.000118155,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007647678,"about_ca_topic_score_gemma":0.1170676,"domain_scores_codex":[0.9955671,0.0001524498,0.001369887,0.0008493681,0.0008421953,0.001219035],"domain_scores_gemma":[0.9972063,0.000910298,0.0001439224,0.001201886,0.0001793109,0.0003582456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002023656,0.0002194567,0.001531795,0.0001335937,0.00003671757,0.00004998921,0.00003873594,0.0006408982,0.9889056,0.001255857,0.0001398839,0.006845119],"study_design_scores_gemma":[0.001050735,0.000781343,0.994875,0.0008570141,0.00003190219,0.00005329427,0.00009583864,0.00004476135,0.000179886,0.0007223577,0.0006492591,0.0006586653],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822769,0.0002082041,0.000006615006,0.0007443059,0.0001152732,0.0008011002,0.0001174609,0.001284709,0.01444546],"genre_scores_gemma":[0.9933723,0.0002460637,0.005662683,0.00009914265,0.00005593516,0.0001530148,0.00002223074,0.0001857699,0.0002028842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9933432,"threshold_uncertainty_score":0.9997111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01318162667268014,"score_gpt":0.2384111200112735,"score_spread":0.2252294933385934,"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."}}