{"id":"W4366818034","doi":"10.3386/w31164","title":"Collateral Advantage: Exchange Rates, Capital Flows and Global Cycles","year":2023,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; National Science Foundation","keywords":"Collateral; Capital flows; Monetary economics; Capital (architecture); Economics; Exchange rate; Business; Finance; Microeconomics; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000595118,0.0007884121,0.0006824476,0.0006009587,0.0004578766,0.003193251,0.0007854709,0.001706796,0.01153451],"category_scores_gemma":[0.001917895,0.0003982493,0.0007710434,0.0008479094,0.001361519,0.003913258,0.001424614,0.001760323,0.0008423465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101786,"about_ca_system_score_gemma":0.0007851162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00667234,"about_ca_topic_score_gemma":0.003684316,"domain_scores_codex":[0.9998513,0.00005494215,0.000006444068,0.00003959067,0.00001567617,0.00003193273],"domain_scores_gemma":[0.9994016,0.0001619558,0.0002525708,0.0000413637,0.00003904556,0.0001034925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001258508,0.00007157473,0.004677635,0.00007260446,0.00006064189,0.0004142628,0.0001617254,0.2569901,0.0004865889,0.7265711,0.003650695,0.006717185],"study_design_scores_gemma":[0.000307344,0.0001764738,0.003278966,0.0001006753,0.0001148394,0.0003347878,0.0002075147,0.4910288,0.0003245004,0.4883414,0.01570874,0.00007593887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6428537,0.004675045,0.1724329,0.02062301,0.0003845579,0.0001470271,0.002544175,0.0003470206,0.1559926],"genre_scores_gemma":[0.9744583,0.002223176,0.003392068,0.0002659998,0.0001169713,0.00006251275,0.000309587,0.0000242307,0.019147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01153451,"threshold_uncertainty_score":0.0385868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3528585818873757,"score_gpt":0.4959309678617374,"score_spread":0.1430723859743617,"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."}}