{"id":"W4293124574","doi":"10.1063/5.0102072","title":"Refinements to the boundary transformation vector representation of attractor shape deformation to enhance system parameter identification","year":2022,"lang":"en","type":"article","venue":"Chaos An Interdisciplinary Journal of Nonlinear Science","topic":"Chaos control and synchronization","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Attractor; Boundary (topology); Poincaré conjecture; Chaotic; Transformation (genetics); Fractal; Mathematics; Representation (politics); Poincaré map; Mathematical analysis; Boundary value problem; Dynamical systems theory; Geometry; Computer science; Nonlinear system; Bifurcation; Artificial intelligence; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.001222504,0.000101219,0.00017833,0.0002779377,0.000795198,0.0001330094,0.0006001617,0.00001190274,0.0001241014],"category_scores_gemma":[0.00002293455,0.00007668578,0.00009506945,0.0008383509,0.00006277061,0.001180398,0.000206052,0.0001555664,0.00001359031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002095563,"about_ca_system_score_gemma":0.0001572533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001402479,"about_ca_topic_score_gemma":0.000005136176,"domain_scores_codex":[0.9980707,0.0001000543,0.0007819621,0.0001831273,0.0006972202,0.0001669217],"domain_scores_gemma":[0.9985158,0.00003893825,0.0006125721,0.0002643438,0.0004601903,0.0001081561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001150798,0.001016449,0.002789919,0.0001349086,0.000100453,0.000005358754,0.1011453,0.08735834,0.4643644,0.002277493,0.000528708,0.3391278],"study_design_scores_gemma":[0.001218169,0.003013548,0.05702427,0.0003362031,0.0001266103,0.0001108521,0.06312732,0.7395802,0.1329527,0.0005509094,0.001395277,0.0005639377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8930516,0.00001138566,0.104514,0.001227555,0.0006592183,0.0003498914,0.00006105856,0.000007105088,0.0001181689],"genre_scores_gemma":[0.9987715,4.074216e-7,0.0008101451,0.00003805994,0.0002758563,0.00003214652,0.00003545763,0.00000799286,0.00002841744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6522219,"threshold_uncertainty_score":0.6116101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01733239091767949,"score_gpt":0.3351615181909945,"score_spread":0.317829127273315,"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."}}