{"id":"W2768950075","doi":"10.5430/rwe.v8n2p1","title":"Will Inequality Affect Growth?: Evidence from USA and China since 1980","year":2017,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Depreciation (economics); Cointegration; Inequality; China; Economic inequality; Short run; Real gross domestic product; Affect (linguistics); Per capita income; Development economics; Macroeconomics; Demographic economics; Econometrics; Economic growth; Geography; Human capital","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01111155,0.0001418411,0.0003185544,0.0002124296,0.001787422,0.0008078007,0.001092833,0.0001003332,0.0003321362],"category_scores_gemma":[0.003517949,0.0001395812,0.0000609117,0.0002518726,0.001296572,0.002874678,0.0005110984,0.0005983306,0.0001542677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004238898,"about_ca_system_score_gemma":0.000345317,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.186326,"about_ca_topic_score_gemma":0.1384262,"domain_scores_codex":[0.9963399,0.001506595,0.0003393699,0.0005560594,0.0004555616,0.0008025502],"domain_scores_gemma":[0.9967141,0.001949681,0.0001454894,0.0007596656,0.0001333886,0.0002976392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003698349,0.00004763078,0.8502827,0.00004465122,0.000009150394,0.0000125013,0.002508891,5.125523e-7,0.00001781278,0.1438965,0.0005518954,0.00259074],"study_design_scores_gemma":[0.0003159777,0.00003937548,0.8796585,0.0002302193,0.000002470159,1.77065e-7,0.0002642737,0.0001325136,0.0001628785,0.09141608,0.02755664,0.0002208665],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7944505,0.0004126592,0.00002582291,0.01366868,0.0002277273,0.000432321,0.00001744119,0.00002223471,0.1907426],"genre_scores_gemma":[0.9965407,0.0007162038,0.0001524096,0.0001117463,0.0006323581,0.0000446348,0.000002545148,0.00001003416,0.001789412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2020902,"threshold_uncertainty_score":0.9995121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1774330852345827,"score_gpt":0.4440827764268613,"score_spread":0.2666496911922787,"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."}}