{"id":"W4388138844","doi":"10.1016/j.ijheatfluidflow.2023.109237","title":"Mean wake evolution behind low aspect-ratio wall-mounted finite prisms","year":2023,"lang":"en","type":"article","venue":"International Journal of Heat and Fluid Flow","topic":"Fluid Dynamics and Vibration Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Wake; Reynolds number; Downwash; Physics; Aspect ratio (aeronautics); Mechanics; Multipole expansion; Prism; Trailing edge; Optics; Turbulence; Geometry; Vortex","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000255001,0.0001280234,0.0001809129,0.0004697366,0.00005754655,0.000134379,0.0001876767,0.00007042367,0.0001166708],"category_scores_gemma":[0.00004568085,0.0001171856,0.0001287784,0.0001820184,0.00002210241,0.0003309149,0.00002729158,0.0001715758,0.00005549683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001418954,"about_ca_system_score_gemma":0.00003657819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001706984,"about_ca_topic_score_gemma":0.00005895894,"domain_scores_codex":[0.9988364,0.00002084208,0.0004544832,0.0001038288,0.0004397275,0.0001447022],"domain_scores_gemma":[0.9994212,0.00005569766,0.00004609779,0.00008657919,0.0002942901,0.00009608149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001059007,0.00006766213,0.002567295,0.00002814776,0.0008885599,0.0001634717,0.001302268,0.920837,0.05290255,0.003242336,0.01165536,0.006239433],"study_design_scores_gemma":[0.000501512,0.00004333987,0.005106192,0.00004720523,0.00003060736,0.00003836134,0.00007196037,0.9912338,0.0007131957,0.0004774878,0.001617079,0.0001192692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7491591,0.0009154293,0.2429691,0.002707868,0.002723349,0.0001109544,0.00005320797,0.0001734633,0.001187556],"genre_scores_gemma":[0.9978907,0.0006335041,0.0006005782,0.0001031526,0.0004097848,0.000002021222,0.00005769506,0.00002072265,0.0002818403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2487316,"threshold_uncertainty_score":0.4778692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006386338018006329,"score_gpt":0.2295666099280756,"score_spread":0.2231802719100693,"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."}}