{"id":"W2607384968","doi":"","title":"The adjustment of consumption to income changes across Chinese provinces","year":2016,"lang":"en","type":"article","venue":"Annals of economics and finance","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Permanent income hypothesis; Economics; Consumption (sociology); Econometrics; Household income; Demographic economics; Macroeconomics; Geography; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008104541,0.0001724382,0.000387127,0.0006174602,0.0006073753,0.0008230574,0.0004434053,0.0002663534,0.001411151],"category_scores_gemma":[0.004272734,0.0002432338,0.0005017964,0.001907392,0.0008528417,0.0004577542,0.0007092631,0.0004938007,0.0001268295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002669392,"about_ca_system_score_gemma":0.001842867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3364683,"about_ca_topic_score_gemma":0.3016814,"domain_scores_codex":[0.999346,0.0001254262,0.00003305048,0.000164692,0.0001046057,0.0002263144],"domain_scores_gemma":[0.9981312,0.0003606121,0.0006312859,0.0002741354,0.0004345847,0.0001681716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002304368,0.00003677753,0.9487861,0.00003781082,0.0002720054,0.000270546,0.001030332,0.02994668,0.001446408,0.005532753,0.0008232695,0.01158677],"study_design_scores_gemma":[0.00001152095,0.0000220541,0.9760784,0.000003564847,0.00004154199,0.00002565134,0.0005222052,0.02073587,0.000333255,0.00152926,0.0006761925,0.00002057311],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978275,0.00004967153,0.0006827888,0.0001813772,0.000005729436,0.000006374062,0.00028254,0.00001217406,0.0009519241],"genre_scores_gemma":[0.9994216,0.00003346538,0.00006553571,0.00001169434,0.000001914338,0.000001631377,0.0001461855,0.00000194225,0.0003161033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3364683,"threshold_uncertainty_score":0.6690198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06704342150031466,"score_gpt":0.3523573610572193,"score_spread":0.2853139395569046,"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."}}