{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001172917,0.0002800278,0.001030664,0.0001060273,0.0001041408,0.00004830598,0.0004681092,0.0001146423,0.0001344777],"category_scores_gemma":[0.0001054685,0.0002289506,0.0001007337,0.00006343976,0.0002038284,0.0003405377,0.0001962024,0.0001838377,0.00008321599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001569272,"about_ca_system_score_gemma":0.00009632238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003046837,"about_ca_topic_score_gemma":0.00007386774,"domain_scores_codex":[0.9975328,0.0000530441,0.001653793,0.0004491139,0.00001855567,0.0002927374],"domain_scores_gemma":[0.9974926,0.0001812743,0.001903752,0.0003286952,0.000009553395,0.00008413238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006763136,0.00001744185,0.2389079,0.003288443,0.0002017777,7.119899e-7,0.002461657,0.0001475661,0.00001612521,0.7521042,0.0002666998,0.002519836],"study_design_scores_gemma":[0.002381106,0.0002150782,0.07683346,0.002641641,0.0001357359,0.00006354848,0.0005223259,0.02611274,0.001834051,0.8098866,0.07798976,0.001383926],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9328182,0.06168061,0.00001732488,0.00200023,0.0002159063,0.000826977,0.000357711,0.00001525556,0.002067831],"genre_scores_gemma":[0.9821786,0.01575634,0.0001660977,0.001664085,0.0001447215,0.00003261941,0.000005987526,0.00003903571,0.00001254377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1620745,"threshold_uncertainty_score":0.9336336,"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."}}