{"id":"W4306149914","doi":"10.1111/1468-0106.12409","title":"International currency markets and the <scp>COVID</scp>‐19 pandemic","year":2022,"lang":"en","type":"article","venue":"Pacific Economic Review","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Economics; Currency; Coronavirus disease 2019 (COVID-19); Pandemic; Monetary economics; Econometrics; Recession; Great recession; Population; Macroeconomics; Keynesian economics; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004879296,0.0002494305,0.0007555674,0.0001805025,0.0003236473,0.0001026202,0.0007567274,0.00005149335,0.003678414],"category_scores_gemma":[0.001448493,0.0002376301,0.000247201,0.0001590396,0.00017012,0.0002381951,0.0004582115,0.0004211707,0.0009909105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008190768,"about_ca_system_score_gemma":0.0001276706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001226932,"about_ca_topic_score_gemma":0.000005255665,"domain_scores_codex":[0.9976302,0.0001715438,0.001094553,0.0006651038,0.00005849354,0.000380092],"domain_scores_gemma":[0.997349,0.001019721,0.0007982583,0.0006424729,0.00001232027,0.0001782334],"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":[0.00003399544,0.00009089899,0.5232154,0.001315413,0.0003821274,0.00001014111,0.00226277,0.0001339605,0.000001944979,0.1568463,0.2834695,0.03223757],"study_design_scores_gemma":[0.001081213,0.0000152911,0.002758833,0.00006453194,0.00002132897,0.0001016824,0.0001425351,0.001316514,7.789493e-8,0.0162825,0.9781047,0.0001108004],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02431776,0.6117245,0.0005414012,0.00797019,0.00478312,0.002241372,0.001178595,0.0001769352,0.3470662],"genre_scores_gemma":[0.5174754,0.4655374,0.0000798253,0.008430435,0.0003020547,0.0005874689,0.00009661642,0.00005671708,0.007434092],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6946352,"threshold_uncertainty_score":0.9997869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06032527694175697,"score_gpt":0.28730317997146,"score_spread":0.2269779030297031,"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."}}