{"id":"W3006260750","doi":"10.1257/jep.34.1.55","title":"The Great Indian Demonetization","year":2020,"lang":"en","type":"article","venue":"The Journal of Economic Perspectives","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Royal Bank of Canada","funders":"","keywords":"Currency; Counterfeit; Circulation (fluid dynamics); Economics; Monetary economics; Legal tender; Business; International economics; Geography; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006513051,0.0003398332,0.000201394,0.001181937,0.002368944,0.003766706,0.0005509626,0.0008788594,0.01823959],"category_scores_gemma":[0.002516634,0.000240973,0.0003856744,0.001748659,0.002816222,0.001468875,0.003602742,0.003278745,0.003552795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00387035,"about_ca_system_score_gemma":0.002906235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02694177,"about_ca_topic_score_gemma":0.02934389,"domain_scores_codex":[0.9988925,0.0001739582,0.00005151015,0.0001660869,0.0002821211,0.000433819],"domain_scores_gemma":[0.9988043,0.0001901647,0.0002235122,0.000243249,0.0002401822,0.0002986113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004259832,0.00007152819,0.03248839,0.0005490507,0.00007834138,0.004460555,0.01358432,0.0004644444,0.003697837,0.3655631,0.4242208,0.1543957],"study_design_scores_gemma":[0.00001138566,0.00004469774,0.05582825,0.0001967856,0.0000194291,0.001482529,0.003732467,0.0001265781,0.001318189,0.00493629,0.9322556,0.00004786343],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2656509,0.008863293,0.0009753268,0.04891784,0.003032107,0.00006905919,0.00355183,0.0004790811,0.6684606],"genre_scores_gemma":[0.8439262,0.004902694,0.0004165853,0.01358546,0.0006861296,0.00003882213,0.001134115,0.0001032037,0.1352067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02694177,"threshold_uncertainty_score":0.06101751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06154346089431762,"score_gpt":0.2311400480353327,"score_spread":0.1695965871410151,"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."}}