{"id":"W3080920981","doi":"10.1142/s0217590820500563","title":"SOME DETERMINANTS AND MECHANICS OF ECONOMIC GROWTH IN MIDDLE-INCOME COUNTRIES: THE ROLE OF ICT INFRASTRUCTURE DEVELOPMENT, TAXATION AND OTHER MACROECONOMIC VARIABLES","year":2020,"lang":"en","type":"article","venue":"The Singapore Economic Review","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Economics; Revenue; Macroeconomics; Gross fixed capital formation; Error correction model; Information and Communications Technology; Causality (physics); Capital expenditure; Investment (military); Tax revenue; Government revenue; Foreign direct investment; Inflation (cosmology); Public economics; Cointegration; Finance; Econometrics","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":[0.000791771,0.0001825355,0.0002300329,0.001413201,0.0002874013,0.001426863,0.0001636334,0.0002523233,0.001608292],"category_scores_gemma":[0.002059671,0.000108867,0.0005681284,0.002148359,0.0005578947,0.0010192,0.000652708,0.0007019252,0.0002834571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008309991,"about_ca_system_score_gemma":0.0009262696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01889581,"about_ca_topic_score_gemma":0.01990655,"domain_scores_codex":[0.9997917,0.00004730361,0.00002495427,0.00002543316,0.00003570507,0.00007487336],"domain_scores_gemma":[0.9986028,0.0003108759,0.0005929491,0.00005641432,0.0002429034,0.000194119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003208111,0.00002755773,0.9857689,0.00003642704,0.00006030781,0.0001871765,0.0001974483,0.001830703,0.00008727582,0.004209578,0.0005950215,0.006967641],"study_design_scores_gemma":[0.000002962623,0.00002451319,0.9921095,0.00005977159,0.00003782567,0.00005433118,0.0008398233,0.002459586,0.0001669778,0.001347716,0.002888786,0.000008181764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864796,0.003475407,0.0003757688,0.00174766,0.00002856214,0.00001163558,0.0006739778,0.00001013972,0.007197247],"genre_scores_gemma":[0.9975563,0.001474292,0.00005746534,0.00002629229,0.00001443679,0.000003089499,0.0003441667,0.000001542929,0.0005224463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01889581,"threshold_uncertainty_score":0.03757161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02232318677109853,"score_gpt":0.222778697749528,"score_spread":0.2004555109784295,"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."}}