{"id":"W2903095753","doi":"10.2514/1.g003767","title":"Galerkin Variational Integrators for Orbit Propagation with Applications to Small Bodies","year":2018,"lang":"en","type":"article","venue":"Journal of Guidance Control and Dynamics","topic":"Numerical methods for differential equations","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Canada Research Chairs","keywords":"Variational integrator; Numerical integration; Integrator; Galerkin method; Applied mathematics; Hamiltonian system; Quadrature (astronomy); Mathematics; Computation; Symplectic integrator; Symplectic geometry; Computer science; Mathematical analysis; Algorithm; Finite element method; Physics","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":[0.000525189,0.0005250901,0.0003924406,0.0003066278,0.0003943432,0.0005122864,0.0006213872,0.0005910709,0.001770814],"category_scores_gemma":[0.001440289,0.0002175585,0.0003696844,0.0003695435,0.0005752838,0.0005690291,0.0007133965,0.001210798,0.000347781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004906618,"about_ca_system_score_gemma":0.0007531102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00164924,"about_ca_topic_score_gemma":0.001623363,"domain_scores_codex":[0.9998516,0.00004960161,0.000007659882,0.00001638045,0.00006373414,0.00001097901],"domain_scores_gemma":[0.9996505,0.0002056104,0.00003268096,0.00002998024,0.00006283825,0.00001849005],"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":[0.00003123454,0.00005585204,0.0005066322,0.0001170672,0.00002470505,0.00008902723,0.0001723586,0.7793688,0.008801484,0.1282181,0.0008138954,0.08180082],"study_design_scores_gemma":[0.000001765503,0.000007897766,0.00002500403,0.000004055315,0.000001312113,0.00001029222,0.000004537533,0.9920754,0.000612337,0.006068088,0.00118632,0.00000292911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00354648,0.0001487464,0.9950932,0.0000414214,0.00003410808,0.00002004139,0.00001146676,0.00005753804,0.001046906],"genre_scores_gemma":[0.2664615,0.0006928468,0.7259308,0.00005457791,0.00004868493,0.0002028643,0.0000850029,0.0001614529,0.006362293],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001770814,"threshold_uncertainty_score":0.005923986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03142734641471796,"score_gpt":0.3228665686600182,"score_spread":0.2914392222453002,"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."}}