{"id":"W2304559236","doi":"10.5539/ibr.v9n6p44","title":"Foreign Exchange Exposure and Hedging of Turkish Companies: Panel Data Evidence","year":2016,"lang":"en","type":"article","venue":"International Business Research","topic":"Risk Management in Financial Firms","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turkish; Profit margin; Panel data; Leverage (statistics); Foreign exchange risk; Business; Monetary economics; Exchange rate; Foreign exchange; Empirical research; Financial crisis; Economics; Econometrics; Finance; Statistics; Macroeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00179296,0.0001459089,0.0001961235,0.0006798445,0.0001473077,0.0003267445,0.001732909,0.00005798255,0.0004701745],"category_scores_gemma":[0.002812923,0.0001077897,0.00002568626,0.0008341087,0.0002991925,0.003500216,0.002945497,0.0001290786,0.0001751307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005295624,"about_ca_system_score_gemma":0.00003534454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001131325,"about_ca_topic_score_gemma":0.0001065619,"domain_scores_codex":[0.9976202,0.00002832231,0.0003417649,0.0005120196,0.001149539,0.0003481294],"domain_scores_gemma":[0.9970876,0.0004783817,0.0001725917,0.0006741246,0.00157167,0.00001562947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005181224,0.0002781805,0.5965751,0.001718934,0.0001695832,0.000106855,0.000141048,0.00003330054,0.006802061,0.07668776,0.06356353,0.2534056],"study_design_scores_gemma":[0.0009412983,0.00001926852,0.7461625,0.001810026,0.00002252004,0.000005300175,0.0002698802,0.001865394,0.00011787,0.01708302,0.2313795,0.0003235035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9236697,0.001976934,0.008119879,0.01963179,0.001552633,0.001041745,0.0001025965,0.0001749933,0.04372974],"genre_scores_gemma":[0.9961162,0.0009222288,0.0002264806,0.0001603835,0.00134673,0.0000299394,0.00004814823,0.00002660908,0.001123324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2530821,"threshold_uncertainty_score":0.5148081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2543005187303336,"score_gpt":0.3726078905471799,"score_spread":0.1183073718168463,"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."}}