{"id":"W2310694395","doi":"10.1137/16m1066890","title":"Eulerian Methods for Visualizing Continuous Dynamical Systems using Lyapunov Exponents","year":2017,"lang":"en","type":"article","venue":"SIAM Journal on Scientific Computing","topic":"Quantum chaos and dynamical systems","field":"Physics and Astronomy","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Research Grants Council, University Grants Committee","keywords":"Lyapunov exponent; Isosurface; Mathematics; Flow (mathematics); Eulerian path; Applied mathematics; Computation; Dynamical systems theory; Partial differential equation; Mathematical analysis; Algorithm; Computer science; Visualization; Geometry; Artificial intelligence","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":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004005119,0.0002696507,0.0005536373,0.0001644103,0.003820764,0.004348957,0.000735571,0.00006881732,0.00003048324],"category_scores_gemma":[0.0001167479,0.0002254705,0.0003529186,0.0001137765,0.0001611623,0.0002931849,0.000208745,0.0003543025,0.00001854507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000115043,"about_ca_system_score_gemma":0.00009023526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008799444,"about_ca_topic_score_gemma":9.036996e-7,"domain_scores_codex":[0.9972579,0.0002932814,0.0008139876,0.000532916,0.0003985721,0.000703326],"domain_scores_gemma":[0.9973692,0.0003081734,0.001154107,0.0005645429,0.0002879213,0.0003161064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003431623,0.001407653,0.05320223,0.0004105344,0.00107445,0.00007349408,0.003071332,0.03685041,0.189476,0.2124005,0.001897267,0.4997929],"study_design_scores_gemma":[0.0009584284,0.0000745227,0.0007812921,0.000546713,0.00003364194,0.0000381437,0.0006758135,0.9885984,0.0002679179,0.001928929,0.005766405,0.0003297683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4963323,0.00004989606,0.4953941,0.00003271288,0.007202051,0.0002541966,0.00001386463,0.0000204705,0.0007003114],"genre_scores_gemma":[0.9823806,1.802105e-7,0.01529513,0.000009764307,0.001812706,0.000002991162,0.00001023643,0.00003816198,0.0004502134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.951748,"threshold_uncertainty_score":0.9974761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06970046839320267,"score_gpt":0.4264635193669164,"score_spread":0.3567630509737137,"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."}}