{"id":"W7000907561","doi":"","title":"Ham petrol fiyat değişimlerinin makro iktisadi değişkenlerle ilişkisi: Bir zaman serisi analizi","year":2010,"lang":"tr","type":"other","venue":"Marmara University Open Access System","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gasoline; Oil price; Exchange rate; Crude oil; Price shock","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":[0.002121961,0.0005625222,0.0004815542,0.001636242,0.0008418855,0.001541157,0.000438645,0.0004258148,0.007030905],"category_scores_gemma":[0.003532751,0.0003029183,0.0009452664,0.002371602,0.0004748649,0.0009463067,0.001163486,0.001045611,0.00145569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670431,"about_ca_system_score_gemma":0.002793251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1008024,"about_ca_topic_score_gemma":0.1225937,"domain_scores_codex":[0.9990427,0.0001743712,0.00006542777,0.0001479328,0.000378133,0.0001914772],"domain_scores_gemma":[0.9972733,0.0005145618,0.0007694128,0.0001487316,0.001104552,0.0001895107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000250908,0.00007021227,0.961601,0.0001946916,0.0001959399,0.0002130591,0.003343372,0.0005786097,0.000543482,0.0008076864,0.003435985,0.02876512],"study_design_scores_gemma":[0.000005680839,0.00009410299,0.9780641,0.0001374108,0.0001053972,0.0001442983,0.01052922,0.0006320591,0.0005012018,0.0002017049,0.009569007,0.00001596056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791296,0.001388819,0.001084503,0.000699833,0.00004877423,0.00007142058,0.00363525,0.00003573265,0.01390607],"genre_scores_gemma":[0.9811113,0.0009670733,0.001489253,0.0001074398,0.00003479719,0.00006128849,0.003958164,0.00002147677,0.01224906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1008024,"threshold_uncertainty_score":0.2004313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04013801530819836,"score_gpt":0.2688630850695999,"score_spread":0.2287250697614015,"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."}}