{"id":"W6906558715","doi":"10.17632/j632j79nkf","title":"Exchange rates and fundamentals","year":2025,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monetary policy; Exchange rate; Equity (law); Volatility (finance); Geopolitics; Interest rate; Economic forecasting; Economic indicator; Economic data","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":[0.0007575153,0.001155333,0.0008581284,0.003458052,0.0004850234,0.001756752,0.001287491,0.001071728,0.03469586],"category_scores_gemma":[0.005167719,0.0003484307,0.0005444742,0.007066675,0.0002078758,0.001067295,0.0008540298,0.0014828,0.05265981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007391823,"about_ca_system_score_gemma":0.0009941658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01305335,"about_ca_topic_score_gemma":0.01596718,"domain_scores_codex":[0.9991154,0.0001283576,0.0001483152,0.000248363,0.0002426055,0.0001169328],"domain_scores_gemma":[0.9980366,0.0003569337,0.0005136425,0.0003301172,0.0006075872,0.0001551611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008502297,0.00004854582,0.007775414,0.0003107663,0.0000361649,0.0000517499,0.00004349338,0.0004690026,0.00009028441,0.001738972,0.9839128,0.00543779],"study_design_scores_gemma":[0.0001867443,0.00003283618,0.039669,0.0002612515,0.000025169,0.0001424812,0.0001379969,0.0008149139,0.0002931553,0.001328361,0.9570736,0.00003434687],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001028417,0.00009341244,0.00006374787,0.00007589939,0.00002662516,0.0000149016,0.9971405,0.00009086003,0.001465731],"genre_scores_gemma":[0.001758145,0.00009196196,0.0001951817,0.00003734883,0.00001913495,0.00007017788,0.9969164,0.00001988368,0.0008917561],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03469586,"threshold_uncertainty_score":0.1160692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1169189980002074,"score_gpt":0.3082440786712248,"score_spread":0.1913250806710174,"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."}}