{"id":"W4206963772","doi":"10.1142/s0218127422500018","title":"Dynamics of a New Multistable 4D Hyperchaotic Lorenz System and Its Applications","year":2022,"lang":"en","type":"article","venue":"International Journal of Bifurcation and Chaos","topic":"Chaos control and synchronization","field":"Physics and Astronomy","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"National Natural Science Foundation of China","keywords":"Multistability; Attractor; Encryption; Chaotic; Lorenz system; Bifurcation diagram; Phase space; Control theory (sociology); Parameter space; Nonlinear system; Computer science; Bifurcation; Lyapunov exponent; Controller (irrigation); Mathematics; Statistical physics; Artificial intelligence; Mathematical analysis; Control (management); 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":[0.0001310616,0.00006305787,0.0001236197,0.0001259699,0.0000929895,0.0000356219,0.0001305467,0.00001290789,0.0001236687],"category_scores_gemma":[0.000005989471,0.00006171681,0.00004122181,0.00007959858,0.00001822797,0.0001172145,0.00005453337,0.0000923675,0.000001007043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007939557,"about_ca_system_score_gemma":0.0001037049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007462865,"about_ca_topic_score_gemma":0.000005678507,"domain_scores_codex":[0.9992819,0.00002652054,0.0003099361,0.0000812,0.0002420651,0.00005831602],"domain_scores_gemma":[0.9992439,0.00003803534,0.0003421099,0.00004980539,0.0002676975,0.00005843012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001719224,0.0003559607,0.02769117,0.00007464914,0.0004519637,0.000004218381,0.002400329,0.004790086,0.003496376,0.7585394,0.0002729698,0.2017509],"study_design_scores_gemma":[0.01116675,0.0005428929,0.01920588,0.00025996,0.0003426498,0.0005269523,0.02127366,0.8937891,0.002711843,0.02188562,0.02758757,0.0007071497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6564643,0.001338272,0.3357834,0.003781911,0.0006148709,0.0004043116,0.0002361372,0.00001660902,0.001360211],"genre_scores_gemma":[0.9990144,0.00002036959,0.0002878362,0.00002668995,0.0002725764,0.00001284429,0.00004768974,0.000006643842,0.0003109329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.888999,"threshold_uncertainty_score":0.2516739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007371115207131271,"score_gpt":0.2328296841643209,"score_spread":0.2254585689571896,"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."}}