{"id":"W2940705983","doi":"","title":"HEGY SEASONAL UNIT ROOT TEST: AN APPLICATION ON BALANCE OF PAYMENTS IN TURKISH ECONOMY","year":2015,"lang":"tr","type":"article","venue":"DergiPark (Istanbul University)","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seasonality; Unit root; Balance of payments; Economics; Seasonal adjustment; Unit (ring theory); Quarter (Canadian coin); Test (biology); Econometrics; Turkish; Balance (ability); Capital (architecture); Order (exchange); Economy; Statistics; Geography; Mathematics; Macroeconomics; Finance; Psychology; Variable (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005881898,0.0003698263,0.0007893859,0.0008673624,0.0001034886,0.00007637474,0.0007088537,0.0002815003,0.000294071],"category_scores_gemma":[0.00008167142,0.0005521232,0.0001542489,0.0006408811,0.0001579006,0.0009418961,0.0001206525,0.0003346567,0.0005387954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008373837,"about_ca_system_score_gemma":0.0001406247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001460912,"about_ca_topic_score_gemma":0.0007259551,"domain_scores_codex":[0.9976729,0.00006337389,0.0007512963,0.0008365616,0.00006149319,0.0006144316],"domain_scores_gemma":[0.9978761,0.0001467035,0.0007689973,0.0006845025,0.00005211737,0.0004715722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005162123,0.0009843847,0.8837885,0.00008731132,0.0001311072,0.00004007201,0.001129391,0.01352318,0.000004281954,0.09632346,0.002916886,0.0005552229],"study_design_scores_gemma":[0.006186896,0.001062214,0.2894968,0.0001004018,0.00005065702,0.00001027235,0.001639139,0.1197111,0.00009084307,0.01137913,0.5690624,0.001210094],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8604203,0.0003102662,0.0002694184,0.0004463123,0.0002081218,0.0003811405,0.0008603066,0.00002740095,0.1370768],"genre_scores_gemma":[0.9937082,0.0001380504,0.0001652144,0.0002046597,0.0001314153,0.000003017482,0.0001680205,0.0000360028,0.005445433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5942917,"threshold_uncertainty_score":0.999693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05727097265336445,"score_gpt":0.2182396789347874,"score_spread":0.1609687062814229,"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."}}