{"id":"W4230044764","doi":"10.1080/13504850600949145","title":"Nonlinear vs. nonstationary of hysteresis in unemployment: evidence from OECD economies","year":2008,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hysteresis; Unemployment; Unit root; Economics; Unemployment rate; Mean reversion; Nonlinear system; Point (geometry); Econometrics; Unit (ring theory); Unit root test; Empirical evidence; Series (stratigraphy); Macroeconomics; Keynesian economics; Demographic economics; Mathematics; Cointegration; Physics; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001395736,0.0001337397,0.0003017978,0.002060192,0.0005495444,0.001028741,0.0002561021,0.0002824442,0.001386292],"category_scores_gemma":[0.007219935,0.00008522443,0.0003256329,0.00215915,0.001507661,0.000844912,0.001311498,0.0002957208,0.0001446207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000761311,"about_ca_system_score_gemma":0.0006111772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03251046,"about_ca_topic_score_gemma":0.02832374,"domain_scores_codex":[0.999431,0.0001376937,0.00006163224,0.0000899091,0.0001411732,0.000138694],"domain_scores_gemma":[0.9929717,0.002837274,0.002455973,0.0005604239,0.0008641105,0.0003105255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000344853,0.00006158552,0.9648257,0.000186968,0.0001256966,0.0006841922,0.005539584,0.0007319234,0.0004888726,0.002727568,0.0006355424,0.02364736],"study_design_scores_gemma":[0.00000572604,0.00002262281,0.9929911,0.00005575669,0.00004009563,0.0001131284,0.004768882,0.000243729,0.0001453393,0.0005956099,0.001010949,0.00000704909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953707,0.0006179862,0.0001285376,0.0001776363,0.000002779316,0.000004063414,0.0001807906,0.000002793031,0.003514735],"genre_scores_gemma":[0.9993914,0.0003296946,0.00003835809,0.00002999295,0.000005353349,0.000002340048,0.0001191667,0.000001659683,0.00008197829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03251046,"threshold_uncertainty_score":0.06464243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07243565176200005,"score_gpt":0.2130149470119645,"score_spread":0.1405792952499644,"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."}}