{"id":"W1970176838","doi":"10.1016/j.jmacro.2014.01.013","title":"Non-linear adjustments to intranational PPP","year":2014,"lang":"en","type":"article","venue":"Journal of Macroeconomics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Crandall University","funders":"","keywords":"Purchasing power parity; Cointegration; Econometrics; Economics; Mean reversion; Measure (data warehouse); Unit root; Mathematics; Statistics; Monetary economics; Exchange rate","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00110575,0.0001645435,0.0005490936,0.0004044965,0.00006885846,0.00005809882,0.000387874,0.00008847718,0.0008097404],"category_scores_gemma":[0.0001154982,0.0001892492,0.0002152356,0.00007076123,0.00003161883,0.0004029257,0.00004789756,0.0001998047,0.002007164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002167509,"about_ca_system_score_gemma":0.00002721266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005430147,"about_ca_topic_score_gemma":0.00001168066,"domain_scores_codex":[0.9982187,0.00001042033,0.00121974,0.0002110531,0.00002767819,0.000312434],"domain_scores_gemma":[0.9985708,0.00006242233,0.000823462,0.0002351893,0.00002836354,0.000279784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008778124,0.0007433338,0.2845391,0.0001333622,0.001489642,0.00002665828,0.003102519,0.326458,0.0001863798,0.2554921,0.09605651,0.0308946],"study_design_scores_gemma":[0.004119483,0.0009423806,0.1431854,0.00004239457,0.00003487223,0.0001880241,0.00009114839,0.1077651,0.0005400765,0.06428789,0.6779385,0.0008647672],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97122,0.0001372253,0.01092886,0.002696421,0.001276704,0.0001174542,0.00008608894,0.000007455682,0.01352981],"genre_scores_gemma":[0.9884179,0.00009235709,0.006707315,0.003171177,0.00105375,0.000002551745,0.000005838864,0.00002758804,0.000521565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5818819,"threshold_uncertainty_score":0.9987699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04105394896735159,"score_gpt":0.2406202358131177,"score_spread":0.1995662868457661,"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."}}