{"id":"W3121401917","doi":"10.3386/w17812","title":"Accounting for Real Exchange Rates Using Micro-data","year":2012,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université Laval; University of Melbourne; Vanderbilt University; National Science Foundation","keywords":"Accounting; Business","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.003192152,0.0009334481,0.0007810005,0.003050866,0.0004156336,0.003549813,0.001037586,0.0008349213,0.003636756],"category_scores_gemma":[0.02149176,0.0006146858,0.0006126428,0.004545699,0.0004606902,0.003790161,0.001255916,0.001591923,0.001138715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000922624,"about_ca_system_score_gemma":0.0009142364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01307078,"about_ca_topic_score_gemma":0.01170363,"domain_scores_codex":[0.9983324,0.0006010101,0.0001811989,0.000411377,0.0003695907,0.0001042797],"domain_scores_gemma":[0.9885515,0.004268829,0.002530912,0.003511432,0.0009091693,0.000228121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000280189,0.0001899209,0.4670867,0.0004736449,0.001673087,0.0008668783,0.0006741932,0.194138,0.001447072,0.1745649,0.02168797,0.1369174],"study_design_scores_gemma":[0.00006782057,0.0000987353,0.1761205,0.0001962111,0.0003090825,0.0003081234,0.0006572941,0.5565606,0.002648045,0.2214149,0.04148306,0.0001355248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5267972,0.005073722,0.3911488,0.006053485,0.0009089417,0.0002811087,0.03556138,0.002057524,0.03211786],"genre_scores_gemma":[0.947369,0.001513666,0.03707896,0.0002602745,0.0003614266,0.0001198766,0.009863053,0.00009292249,0.003340805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01307078,"threshold_uncertainty_score":0.02598941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7676379803606802,"score_gpt":0.5245282689400687,"score_spread":0.2431097114206116,"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."}}