{"id":"W3012337121","doi":"10.5539/ijef.v12n4p33","title":"Financial Sector Development and Open Economy for Income Inequality Reduction: A Panel Fixed Model Analysis","year":2020,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Openness to experience; Economic inequality; Economics; Inequality; Financial sector development; Latin Americans; Income distribution; Panel data; Developing country; Economic growth","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":[0.003062,0.0008287402,0.00155499,0.001374772,0.0009978261,0.002779484,0.001440097,0.001882857,0.01183791],"category_scores_gemma":[0.003621885,0.000507966,0.003446304,0.001983893,0.0006941917,0.001272206,0.001450588,0.002851971,0.0010515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001805607,"about_ca_system_score_gemma":0.002181536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05984419,"about_ca_topic_score_gemma":0.04127994,"domain_scores_codex":[0.9980743,0.0009378833,0.0000551405,0.000266215,0.0001178498,0.0005486137],"domain_scores_gemma":[0.9962096,0.002230955,0.0008007245,0.000192325,0.0002559084,0.0003103794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001311631,0.001560388,0.4613131,0.0003282961,0.005261817,0.002513446,0.0005748033,0.4064713,0.001160926,0.0641671,0.0184284,0.03690884],"study_design_scores_gemma":[0.0003184672,0.001071767,0.112324,0.0001765463,0.002816895,0.0002687766,0.001269108,0.8517056,0.0006488031,0.01976158,0.009490055,0.0001483896],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9056579,0.003379652,0.05653952,0.007668617,0.0005502929,0.0003025779,0.009784794,0.0003624736,0.01575415],"genre_scores_gemma":[0.9813517,0.001116996,0.004037192,0.0003400118,0.0001789496,0.000157151,0.002658129,0.00002061907,0.01013923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05984419,"threshold_uncertainty_score":0.1189917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1133519893526554,"score_gpt":0.2660422224526444,"score_spread":0.152690233099989,"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."}}