{"id":"W2909365891","doi":"10.2514/6.2019-0269","title":"High Spatial Resolution 3D Fluid Velocimetry by Tomographic Particle Flow Velocimetry","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Particle image velocimetry; Velocimetry; Particle tracking velocimetry; Flow visualization; Image resolution; Optics; Flow (mathematics); Mechanics; Physics; Turbulence","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002720091,0.0003266792,0.0003240724,0.0002090832,0.0001213737,0.00009355757,0.0003550193,0.0002767798,0.0003723196],"category_scores_gemma":[0.00002043803,0.0003360821,0.0001486306,0.000693327,0.00005579817,0.0003160658,0.0001176731,0.0003327839,0.001279467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001172652,"about_ca_system_score_gemma":0.00002327054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002859675,"about_ca_topic_score_gemma":0.00003920976,"domain_scores_codex":[0.9978805,0.00002944722,0.0003928493,0.0004269973,0.0004295886,0.0008406727],"domain_scores_gemma":[0.9990261,0.00005161134,0.00004805463,0.0006442314,0.00005999102,0.0001699711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001952803,0.0003841557,0.05338999,0.0003133206,0.0005910515,0.00002831926,0.0002105564,0.2434024,0.2877362,0.006101581,0.3295632,0.07808394],"study_design_scores_gemma":[0.0009144093,0.0001482065,0.003726133,0.00004218814,0.00002800144,0.000005938888,0.00001433982,0.969694,0.007075386,0.0003513657,0.017479,0.000521094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722801,0.002105623,0.02012867,0.0004776368,0.002769943,0.0004916893,0.0002013791,0.0007503569,0.0007945549],"genre_scores_gemma":[0.9956458,0.0001651099,0.002689382,0.0001851404,0.0001277155,0.00002219777,0.0002019356,0.00009165973,0.0008711012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7262915,"threshold_uncertainty_score":0.9999091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002694614993131273,"score_gpt":0.1744808082722231,"score_spread":0.1717861932790918,"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."}}