{"id":"W2099603186","doi":"10.5772/14349","title":"Predicting Chaos with Lyapunov Exponents: Zero Plays no Role in Forecasting Chaotic Systems","year":2011,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Lyapunov exponent; Chaotic; CHAOS (operating system); Zero (linguistics); Statistical physics; Mathematics; Computer science; Control theory (sociology); Artificial intelligence; Physics; Philosophy; Control (management); Computer security","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005257974,0.0006017447,0.001453075,0.0008699346,0.0001387771,0.0001453335,0.000471336,0.000441315,0.000652834],"category_scores_gemma":[0.00004358013,0.0006227471,0.0002878297,0.00005781377,0.00009455408,0.0001191067,0.0002175131,0.0006317747,0.0007693014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002939063,"about_ca_system_score_gemma":0.00003835165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004651188,"about_ca_topic_score_gemma":0.0007291078,"domain_scores_codex":[0.9967726,0.00001159924,0.001617313,0.0009208374,0.0001154143,0.0005621793],"domain_scores_gemma":[0.9974955,0.0000633971,0.001414423,0.0007694222,0.0001246781,0.0001325352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004137107,0.0001364294,0.01574561,0.001761888,0.002809809,0.0004858946,0.005675225,0.0001445103,0.0002230959,0.966325,0.0002366922,0.006042174],"study_design_scores_gemma":[0.004823439,0.002363829,0.000558826,0.0158563,0.0004466754,0.0006517922,0.001406127,0.04366459,0.0003909814,0.1830811,0.7393256,0.007430676],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003208701,0.002118108,0.002783892,0.00000606689,0.0005550332,0.0008026879,0.0002194558,0.0001233058,0.9901828],"genre_scores_gemma":[0.7023479,0.00002474605,0.0001078378,0.00001999535,0.0003121386,0.0001112549,0.00002942114,0.0001551237,0.2968916],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7832438,"threshold_uncertainty_score":0.9996224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04754331486160472,"score_gpt":0.1848073902506697,"score_spread":0.137264075389065,"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."}}