{"id":"W3035229422","doi":"","title":"Chinese Household Income, Consumption and Savings | Bulletin – September Quarter 2016","year":2016,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Consumption (sociology); Household income; Business; Economics; Advertising; Geography; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002800617,0.0004441534,0.0002595254,0.001355917,0.0006556295,0.0006780169,0.0002206108,0.0002517075,0.01839252],"category_scores_gemma":[0.0007038302,0.0002198817,0.000148983,0.004177439,0.0001918909,0.000592392,0.000375725,0.0004217465,0.004578888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002226071,"about_ca_system_score_gemma":0.003139736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1433113,"about_ca_topic_score_gemma":0.2745803,"domain_scores_codex":[0.9998933,0.00001059657,0.00001328792,0.00001226927,0.00004912401,0.00002150944],"domain_scores_gemma":[0.9997327,0.00002063021,0.00004131124,0.00002013595,0.0001292626,0.00005591084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002239881,0.00008984489,0.07638176,0.0004604122,0.00003457631,0.0001590208,0.0005371533,0.0002227838,0.0004199129,0.001998685,0.8564333,0.06303855],"study_design_scores_gemma":[0.00001981625,0.00003494823,0.5950415,0.0001205157,0.00003476822,0.00007277929,0.0006156086,0.0002457839,0.0006622953,0.0001945718,0.4029335,0.00002385607],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.367756,0.02400508,0.0006092481,0.02159921,0.005818125,0.0002997427,0.2596278,0.000728575,0.3195561],"genre_scores_gemma":[0.4161161,0.01870192,0.0007537898,0.0008543443,0.001406789,0.0002559885,0.09574326,0.0001011125,0.4660667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1433113,"threshold_uncertainty_score":0.2849542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01785322691465254,"score_gpt":0.2648463122277894,"score_spread":0.2469930853131369,"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."}}