{"id":"W3203029122","doi":"10.18409/ispiv.v1i1.169","title":"Determination of the Near Wall Flow of a Multi-Stage Tesla Diode Using PIV and PTV","year":2021,"lang":"en","type":"article","venue":"14th International Symposium on Particle Image Velocimetry","topic":"Vibration and Dynamic Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Particle image velocimetry; Particle tracking velocimetry; Velocimetry; Optics; Physics; Flow (mathematics); Tracking (education); Range (aeronautics); Acoustics; Materials science; Mechanics","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":[0.0001114702,0.00009774343,0.0001369115,0.00004205117,0.00004932119,0.00004516393,0.0001245461,0.00004468934,0.0000929409],"category_scores_gemma":[0.00009218725,0.00008559938,0.00008344184,0.0002549848,0.00007944484,0.0001657326,0.00005733499,0.0000811977,0.000005003711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005976908,"about_ca_system_score_gemma":0.00002406969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002498934,"about_ca_topic_score_gemma":0.00001230187,"domain_scores_codex":[0.9991905,0.00004050526,0.0002680039,0.0001408427,0.0002530087,0.0001071085],"domain_scores_gemma":[0.9994856,0.00005730207,0.0000829339,0.0001781101,0.0001571824,0.00003891267],"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":[0.00001940561,0.0001619231,0.014806,0.00007930763,0.0001491919,0.000009312978,0.0007330966,0.1650241,0.8145078,0.0004193536,0.00003775019,0.004052687],"study_design_scores_gemma":[0.0003078858,0.000008243148,0.004905033,0.00002537348,0.00002551017,0.000004033153,0.00005971415,0.769358,0.2251489,0.00001195524,0.00007987228,0.00006547906],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8500286,0.00006493274,0.1486899,0.0003588124,0.0002019896,0.00006712619,0.0000463664,0.00003351084,0.0005088171],"genre_scores_gemma":[0.9772807,0.0000178695,0.0222622,0.00007724035,0.0000202494,0.000002987643,0.000008602421,0.00001552107,0.0003145788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6043338,"threshold_uncertainty_score":0.3490641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654989358100113,"score_gpt":0.2662087040695947,"score_spread":0.2496588104885936,"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."}}