{"id":"W2352003692","doi":"","title":"Practices of Rural Area Pension Security in Foreign Countries and Implications for China","year":2010,"lang":"en","type":"article","venue":"Shehui baozhang yanjiu","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pension; Social security; China; Business; Social pension; Economic growth; Welfare; Rural area; Development economics; Economics; Political science; Finance; Market economy","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":[0.002957823,0.0001511056,0.0001260576,0.00103682,0.002879647,0.001252266,0.000472173,0.0002379711,0.001293087],"category_scores_gemma":[0.00333095,0.00008776523,0.0001405691,0.001653478,0.002211868,0.000802157,0.001742085,0.0004055691,0.00005485081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005393137,"about_ca_system_score_gemma":0.009971554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09493095,"about_ca_topic_score_gemma":0.1310665,"domain_scores_codex":[0.9987368,0.0005656097,0.00006659063,0.0000832171,0.0001291574,0.0004186344],"domain_scores_gemma":[0.9982361,0.0003192768,0.0005279867,0.0002159847,0.0002726126,0.0004280568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001146764,0.0001156333,0.5963162,0.0001469887,0.00003890919,0.001388724,0.2415795,0.0008484624,0.00266502,0.04664513,0.002440908,0.1076999],"study_design_scores_gemma":[0.00002447659,0.0002084614,0.6870979,0.0003015654,0.00002993877,0.000685109,0.2520157,0.001085399,0.001049004,0.003000097,0.05444204,0.00006038018],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895585,0.0004361602,0.0002258493,0.002167135,0.000009783145,0.00001649865,0.00002617876,0.000006974956,0.00755303],"genre_scores_gemma":[0.9984118,0.0002617007,0.0001770617,0.00007623417,0.000002548767,0.000005782439,0.00001020481,0.000001122934,0.001053648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09493095,"threshold_uncertainty_score":0.1887568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1199707061650801,"score_gpt":0.4304446578260724,"score_spread":0.3104739516609923,"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."}}