{"id":"W2000753097","doi":"10.3390/su6063271","title":"Assessing the Financial Sustainability of China’s Rural Pension System","year":2014,"lang":"en","type":"article","venue":"Sustainability","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Fundamental Research Funds for the Central Universities; China Postdoctoral Science Foundation; National Social Science Fund of China; Canada Research Chairs","keywords":"Sustainability; China; Pension; Pension system; Business; Sustainable development; Economics; Rural area; Finance; Economic growth; Geography; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001567633,0.0002753219,0.0001881841,0.001550651,0.0006264622,0.0009906235,0.0003589995,0.0003020732,0.0008433854],"category_scores_gemma":[0.002337534,0.00009408998,0.0002223574,0.001447807,0.0004258525,0.001261781,0.001132038,0.0002391361,0.00005713521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002877207,"about_ca_system_score_gemma":0.002568803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03379056,"about_ca_topic_score_gemma":0.03602703,"domain_scores_codex":[0.9996247,0.0001222327,0.00002577129,0.00002935084,0.00009128128,0.0001066988],"domain_scores_gemma":[0.9992974,0.0001069726,0.0002382666,0.00003634503,0.0001895622,0.0001314984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005722889,0.00006187116,0.9226606,0.00007642394,0.0001099834,0.0003875029,0.00176507,0.0230364,0.0006890438,0.01146159,0.001013272,0.03868096],"study_design_scores_gemma":[0.00001046682,0.0001580541,0.9263449,0.00006777477,0.00006167351,0.00008503212,0.005295516,0.05695982,0.0007035733,0.00587916,0.004400377,0.00003357194],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960913,0.0001451773,0.0006386334,0.0003503543,0.000004280816,0.0000173049,0.0001994253,0.000005915317,0.002547499],"genre_scores_gemma":[0.9995316,0.00007579092,0.0001545326,0.00000923164,0.000002285409,0.000005245062,0.00007541521,6.790486e-7,0.000145239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03379056,"threshold_uncertainty_score":0.06718773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006488497151251086,"score_gpt":0.3002546492814283,"score_spread":0.2937661521301772,"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."}}