{"id":"W2895513137","doi":"10.1016/j.jeca.2018.e00105","title":"Money and business cycle: Evidence from India","year":2018,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Economics; Business cycle; Monetary economics; Macroeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005037222,0.0002306008,0.0003742306,0.001679186,0.0006505313,0.001568388,0.0005324152,0.0004842246,0.004480444],"category_scores_gemma":[0.0039924,0.0002387103,0.000437383,0.005965577,0.0009221108,0.0007685529,0.001052558,0.0008415342,0.0005832009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000768312,"about_ca_system_score_gemma":0.001090469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07374552,"about_ca_topic_score_gemma":0.07300735,"domain_scores_codex":[0.9996828,0.00007282667,0.00003106583,0.00003791922,0.00006347871,0.0001118109],"domain_scores_gemma":[0.9928836,0.004035402,0.001751898,0.0003614324,0.000622773,0.0003449156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00138777,0.0002641306,0.9611234,0.0003845743,0.0004649849,0.001440991,0.002148329,0.001829674,0.0009790554,0.004752731,0.002892129,0.02233235],"study_design_scores_gemma":[0.00004881999,0.00008666214,0.9925524,0.00005340403,0.000423932,0.000274862,0.001927502,0.0003903784,0.0004506411,0.0006866955,0.00308414,0.00002056774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905353,0.001020326,0.0000966515,0.000549277,0.00000928153,0.000006064269,0.0015119,0.000009712722,0.006261518],"genre_scores_gemma":[0.9976032,0.0009194755,0.00003322739,0.00005584732,0.00002275899,0.000001982667,0.0009174718,0.000004543264,0.0004415518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07374552,"threshold_uncertainty_score":0.1466326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06316972107158736,"score_gpt":0.2443517716743347,"score_spread":0.1811820506027473,"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."}}