{"id":"W2049205345","doi":"10.1016/j.iref.2014.08.004","title":"The growth and inequality nexus: The case of China","year":2014,"lang":"en","type":"article","venue":"International Review of Economics & Finance","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Nexus (standard); Inequality; Economics; Economic inequality; China; Income inequality metrics; Government (linguistics); Development economics; Geography","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":[0.002762881,0.0000604707,0.0001790764,0.00001058115,0.0001926716,0.00002370489,0.0003918217,0.00002532547,0.00001996065],"category_scores_gemma":[0.00153166,0.00003808205,0.00007533659,0.00004553924,0.0003374452,0.0001349772,0.00006837412,0.00006909412,0.000003033833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003281877,"about_ca_system_score_gemma":0.00006375276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003046414,"about_ca_topic_score_gemma":0.001421798,"domain_scores_codex":[0.9990998,0.0001977371,0.0004341333,0.0001109373,0.00006330421,0.00009408345],"domain_scores_gemma":[0.9986973,0.0005385772,0.0004350741,0.0001900599,0.0001208983,0.00001802612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004472745,0.00001219602,0.001267593,0.0001392412,0.00001046948,3.613788e-7,0.0004782412,0.000002019769,7.220198e-7,0.978009,0.0003834005,0.01969232],"study_design_scores_gemma":[0.0003238961,0.00006865936,0.03279901,0.001121003,0.00003061856,0.00002337251,0.0004668857,0.001307431,0.00009568228,0.2754749,0.6880664,0.0002221263],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8485447,0.01504991,0.0001984197,0.02150227,0.0009525063,0.0003275601,0.00006727856,0.000006787943,0.1133506],"genre_scores_gemma":[0.8968163,0.1021115,0.00005847924,0.0007563502,0.0001280507,0.000007916631,0.000001639518,0.000002775875,0.0001170277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7025341,"threshold_uncertainty_score":0.4605287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02744055678546106,"score_gpt":0.3215477057525685,"score_spread":0.2941071489671075,"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."}}