{"id":"W2989674444","doi":"10.5539/ibr.v12n12p74","title":"Growing Global Demand for Cash","year":2019,"lang":"en","type":"article","venue":"International Business Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cash; Circulation (fluid dynamics); Payment; Business; Economics; Demand for money; Finance; Operating cash flow; Monetary economics; Interest rate","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":[0.0003327581,0.0001844746,0.0002643029,0.001154805,0.000281987,0.001491014,0.0002122973,0.0004888018,0.01822935],"category_scores_gemma":[0.001132637,0.00009935385,0.0002278988,0.00219749,0.0003943853,0.001808671,0.0008501229,0.0005683914,0.001753551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006022184,"about_ca_system_score_gemma":0.0003015162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001917852,"about_ca_topic_score_gemma":0.002234477,"domain_scores_codex":[0.9997806,0.00002895929,0.00001488608,0.00006519347,0.0000587985,0.00005159874],"domain_scores_gemma":[0.9987971,0.0003204372,0.0004458599,0.0000747642,0.0002448305,0.0001169662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000351559,0.000097626,0.6036429,0.001538935,0.0001707476,0.002872443,0.009423406,0.002802463,0.009607597,0.05261352,0.05307651,0.2638022],"study_design_scores_gemma":[0.0000134931,0.000121062,0.7692292,0.0003513623,0.00004551324,0.001885856,0.012227,0.0008892939,0.001150705,0.004966786,0.2090672,0.00005264585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9502996,0.003829539,0.0008268033,0.004149671,0.00007352713,0.00001184811,0.004176877,0.00006090099,0.03657128],"genre_scores_gemma":[0.9870797,0.0036863,0.0005050129,0.0007551878,0.0001140677,0.00001046654,0.00218051,0.00002260642,0.005646117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01822935,"threshold_uncertainty_score":0.0609833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06728700867975948,"score_gpt":0.3452496879518853,"score_spread":0.2779626792721258,"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."}}