{"id":"W1505288473","doi":"","title":"Foreign Exchange Hedging Strategies at General Motors: Transactional and Translational Exposures (CW)","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Risk Management in Financial Firms","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Currency; Liberian dollar; Devaluation; Multinational corporation; Transactional leadership; Economics; Accounting; Finance; Monetary economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0008985904,0.0002444744,0.0001941798,0.0002982032,0.0005916239,0.0004024178,0.0002229193,0.00008143085,0.0003456647],"category_scores_gemma":[0.00001121514,0.000231163,0.0001267149,0.0002102447,0.00006574672,0.00247597,0.00003985298,0.0006592096,0.00006495172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002455529,"about_ca_system_score_gemma":0.0001944734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001227221,"about_ca_topic_score_gemma":0.001951084,"domain_scores_codex":[0.9975093,0.0000161943,0.0003493465,0.0002773863,0.0004270297,0.001420737],"domain_scores_gemma":[0.99957,0.00002243281,0.000198819,0.0001059346,0.00008118013,0.00002160519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001581037,0.00007484988,0.01673397,0.00005996246,0.0001492853,0.0000065609,0.0001256106,0.002241547,0.000412364,0.8911761,0.001014469,0.08784717],"study_design_scores_gemma":[0.002929484,0.0001054333,0.04737329,0.00005583228,0.0002038128,0.0002435701,0.001669297,0.01045599,0.00005976965,0.738929,0.1970827,0.0008918114],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9389227,0.004762451,0.03369371,0.002806259,0.0003202186,0.0003195591,0.000003803425,0.0001291844,0.01904213],"genre_scores_gemma":[0.9909798,0.001409526,0.0003851586,0.0004407442,0.004718116,0.00001602865,0.00002092136,0.00004063062,0.001989112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1960683,"threshold_uncertainty_score":0.9426551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009746492768826009,"score_gpt":0.2130032824903026,"score_spread":0.2032567897214766,"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."}}