{"id":"W2783289594","doi":"10.5539/ijef.v10n2p67","title":"Long Run Relationship between Selected Macroeconomic Indicators and Banking Sector in Pakistan","year":2018,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Exchange rate; Granger causality; Index (typography); Interest rate; Inflation (cosmology); Augmented Dickey–Fuller test; Money supply; Monetary economics; Short run; Industrial production index; Monetary policy; Price index; Causality (physics); Consumer price index (South Africa); Macroeconomics; Econometrics; Production (economics)","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":[0.0004230429,0.0001780357,0.0001751473,0.0008190715,0.0003078572,0.0008970039,0.00009628735,0.0002370184,0.001615934],"category_scores_gemma":[0.001503215,0.0001319848,0.0002223922,0.001384854,0.0002086802,0.0004974998,0.0003420022,0.0004982484,0.0002391009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006268215,"about_ca_system_score_gemma":0.0008005374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01673849,"about_ca_topic_score_gemma":0.01720187,"domain_scores_codex":[0.9997435,0.00003504366,0.00003467286,0.00005258078,0.00005949189,0.00007475067],"domain_scores_gemma":[0.9983505,0.0003917521,0.0007237304,0.00004213187,0.000323037,0.0001689355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003831692,0.00003723225,0.9947918,0.00001998864,0.0000403861,0.0002126328,0.0001615053,0.0004351972,0.0001883327,0.000280116,0.0003193937,0.00347505],"study_design_scores_gemma":[0.00000263256,0.00004319103,0.9978588,0.00001479839,0.00002685162,0.000105924,0.0003735682,0.0007903681,0.0001102285,0.0001499454,0.0005173437,0.000006361357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964435,0.000435296,0.0001639065,0.0002313715,0.000009892108,0.000006324866,0.0006983365,0.000004966443,0.002006492],"genre_scores_gemma":[0.9988989,0.0002962036,0.00006914452,0.00002002058,0.000009926684,0.000003111454,0.0004182552,8.762035e-7,0.0002836083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01673849,"threshold_uncertainty_score":0.03328216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441638916201583,"score_gpt":0.2463808932093766,"score_spread":0.2319645040473608,"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."}}