{"id":"W4389223920","doi":"10.1115/1.4064185","title":"Improving Three-Dimensional Synthetic Jet Modeling in a Crossflow","year":2023,"lang":"en","type":"article","venue":"Journal of Fluids Engineering","topic":"Plasma and Flow Control in Aerodynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Concordia University; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Synthetic jet; Jet (fluid); Mechanics; Environmental science; Materials science; Aerospace engineering; Geology; Computer science; Physics; Engineering; Artificial intelligence","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":[0.0005197244,0.000197654,0.0003357483,0.0005341787,0.00002804005,0.0000489777,0.0002041173,0.000105979,0.000006775726],"category_scores_gemma":[0.0001570424,0.0001915051,0.0001364991,0.000437421,0.000008972715,0.0002617061,0.000036965,0.0004728156,0.00001816716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001486586,"about_ca_system_score_gemma":0.00003221612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000738393,"about_ca_topic_score_gemma":0.00001549732,"domain_scores_codex":[0.9986414,0.000007435668,0.0005724666,0.0001082805,0.0002708606,0.0003995602],"domain_scores_gemma":[0.9995352,0.0001188172,0.00003773905,0.0001380235,0.00006176459,0.0001084323],"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":[0.000009516698,0.00000643795,0.0001760276,0.00006469402,0.00002481749,0.000145538,0.0000443741,0.8791566,0.1184212,0.00003952198,0.00003736974,0.001873919],"study_design_scores_gemma":[0.0005112515,0.00002526754,0.0004066318,0.0001881004,0.00001557199,0.0001187563,0.000009937383,0.9978467,0.0005991132,0.00005458244,0.00003611597,0.000187921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8672287,0.000587547,0.1308273,0.00002915911,0.001046418,0.00005469756,0.000004187832,0.0001858854,0.0000361162],"genre_scores_gemma":[0.9949945,0.00004917069,0.004677814,0.00000692276,0.0001982777,0.000004059905,0.000001449043,0.00005976879,0.00000801724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1277658,"threshold_uncertainty_score":0.7809353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009951403206405992,"score_gpt":0.193111847007411,"score_spread":0.183160443801005,"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."}}