{"id":"W165321946","doi":"10.2139/ssrn.894222","title":"Testing for Nonlinear Structure and Chaos in Economic Time Series","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Government of Canada; Bank of Canada","funders":"","keywords":"Series (stratigraphy); CHAOS (operating system); Nonlinear system; Econometrics; Mathematics; Statistical physics; Economics; Computer science; Applied mathematics; Mathematical economics; Physics; Geology","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":[0.0006419582,0.000130349,0.0003560171,0.0001997671,0.0001467695,0.0001016937,0.0001154284,0.00006133955,0.00010808],"category_scores_gemma":[0.00003094614,0.0001410032,0.00008346635,0.0001189679,0.00002602581,0.0002282818,0.00002438236,0.0003414764,0.0000312546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004324819,"about_ca_system_score_gemma":0.0001542192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001114956,"about_ca_topic_score_gemma":0.0043495,"domain_scores_codex":[0.9982687,0.000008477708,0.0005291877,0.0002321904,0.00001723585,0.0009441805],"domain_scores_gemma":[0.9995086,0.00003552899,0.0002957307,0.000107915,0.00001997385,0.00003227132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000517824,0.00003013008,0.1144466,0.00002539173,0.0001546342,0.000002066252,0.00007087435,0.001121535,0.0002119276,0.8797488,0.0001491682,0.003987098],"study_design_scores_gemma":[0.0009929637,0.0002835125,0.01571778,0.0000139386,0.00001435007,0.0002644472,0.0001828786,0.01699297,0.00002330748,0.9474171,0.01776369,0.000333041],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900842,0.006313611,0.0009485084,0.0005603266,0.0001188379,0.0001853575,0.0001555224,0.00001738555,0.001616203],"genre_scores_gemma":[0.9950113,0.0001386791,0.001229164,0.0000172761,0.0005627591,0.000005581643,0.00001751429,0.00002624197,0.002991484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09872884,"threshold_uncertainty_score":0.5749943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007986272433759965,"score_gpt":0.1877186146809713,"score_spread":0.1797323422472113,"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."}}