{"id":"W2318805737","doi":"10.2514/6.2009-582","title":"Aurelia Aurita's Flight: A Finite Element Model of a Jellyfish Self Propulsion","year":2009,"lang":"en","type":"article","venue":"47th AIAA Aerospace Sciences Meeting including The New Horizons Forum and Aerospace Exposition","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aurelia aurita; Jellyfish; Propulsion; Finite element method; Marine engineering; Scyphozoa; Aerospace engineering; Propulsor; Aeronautics; Physics; Engineering; Oceanography; Fishery; Geology; Biology; Cnidaria; Structural engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009650455,0.0003665478,0.000475906,0.0003836985,0.0005623086,0.0007819448,0.001095981,0.002104277,0.002188992],"category_scores_gemma":[0.0003089778,0.000368826,0.000726409,0.0003400986,0.0007721804,0.0004705507,0.0009454254,0.0005259577,0.0004024058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003974474,"about_ca_system_score_gemma":0.0007145549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01970165,"about_ca_topic_score_gemma":0.01018716,"domain_scores_codex":[0.9999481,0.000009961155,0.000003547917,0.00001317852,0.00001594372,0.00000919906],"domain_scores_gemma":[0.9999155,0.00002348376,0.0000185313,0.00001024218,0.00001503296,0.00001727536],"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":[0.00003863684,0.0000317519,0.00117466,0.0000287034,0.00002050518,0.0003330411,0.0001049895,0.9846649,0.006118603,0.004260422,0.0002702667,0.002953583],"study_design_scores_gemma":[0.00001318462,0.00003244863,0.0008504417,0.000006646522,0.000009020832,0.00006405228,0.00003931624,0.9973148,0.0002507528,0.0005315479,0.0008780508,0.000009780382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7644013,0.0009114541,0.1729575,0.0009007396,0.0002109907,0.0001233772,0.0006667988,0.0006090075,0.05921905],"genre_scores_gemma":[0.9738604,0.0003184079,0.01131215,0.00009424495,0.00003345905,0.00008348191,0.0001338921,0.00006908811,0.0140948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01970165,"threshold_uncertainty_score":0.03917396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01330343550340415,"score_gpt":0.2444603106413039,"score_spread":0.2311568751378998,"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."}}