{"id":"W123503771","doi":"","title":"Understanding exchange rate volatility: Are economic fundamentals important?","year":2001,"lang":"en","type":"dissertation","venue":"Otago University Research Archive (University of Otago)","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Volatility (finance); Exchange rate; Monetary economics; Financial 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002705536,0.0004576579,0.001172604,0.002073498,0.001147843,0.00009451105,0.001370515,0.0004655605,0.006938358],"category_scores_gemma":[0.0001185775,0.000737379,0.000568215,0.0007127363,0.0006182031,0.0006201809,0.0005346819,0.001190114,0.000225112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002244913,"about_ca_system_score_gemma":0.0003435454,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007515382,"about_ca_topic_score_gemma":0.03315113,"domain_scores_codex":[0.9964803,0.0003963589,0.0005546373,0.001353562,0.0002441315,0.0009710506],"domain_scores_gemma":[0.9967335,0.0004579249,0.001246164,0.0009548389,0.0001632893,0.0004443025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006601067,0.001101374,0.6452928,0.002955682,0.002475536,0.00139486,0.01492491,0.00003141336,0.0003109555,0.2870086,0.03555061,0.002352228],"study_design_scores_gemma":[0.004953516,0.000627961,0.1640432,0.0006923361,0.0001760006,0.0000100325,0.08794332,0.08939125,0.00001347101,0.2042812,0.4455395,0.002328299],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5573161,0.000707565,0.005519426,0.0004930723,0.0006976941,0.001330363,0.008162797,0.0001025937,0.4256704],"genre_scores_gemma":[0.8476612,0.00872755,0.0006951236,0.00001871446,0.0001326443,8.319842e-7,0.002686666,0.00009457109,0.1399827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4812496,"threshold_uncertainty_score":0.9995077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1289459398684609,"score_gpt":0.2704205654804011,"score_spread":0.1414746256119402,"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."}}