{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001196843,0.0002220322,0.000247149,0.00164509,0.0006073198,0.0007995417,0.0003143208,0.0003490201,0.002303003],"category_scores_gemma":[0.003413089,0.00009803302,0.0003803842,0.003222962,0.0008248173,0.0007063682,0.001007749,0.0006445558,0.0001534476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007058985,"about_ca_system_score_gemma":0.0009327307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07262579,"about_ca_topic_score_gemma":0.09326248,"domain_scores_codex":[0.999572,0.00009116502,0.00003555352,0.00006444458,0.00007536289,0.0001616033],"domain_scores_gemma":[0.9952492,0.001085012,0.002099902,0.0002043166,0.0007134337,0.0006481952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009355403,0.00004317468,0.9801968,0.00005722619,0.00008394499,0.0001666986,0.0009407586,0.0001426432,0.00005910865,0.001232319,0.001615377,0.01536831],"study_design_scores_gemma":[0.000003853219,0.00001891123,0.9959274,0.00006233648,0.00005087183,0.00003506364,0.0008366006,0.000188153,0.00007278073,0.0001935002,0.002605941,0.000004423062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787986,0.005981592,0.0001037741,0.00355209,0.00004051232,0.000006398699,0.0009443804,0.000004552892,0.0105682],"genre_scores_gemma":[0.9959919,0.002403785,0.00002777754,0.0002797257,0.00006517643,0.000004001658,0.0007159642,0.000002366196,0.0005093756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07262579,"threshold_uncertainty_score":0.1444061,"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."}}