{"id":"W2543006403","doi":"10.3968/8880","title":"The Investigation of the Retirement Expectation of Labor in China","year":2016,"lang":"en","type":"article","venue":"Canadian social science","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Affect (linguistics); China; Unit (ring theory); Carry (investment); Demographic economics; Retirement age; Labour economics; Economics; Psychology; Political science; Pension; Finance; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00162915,0.00003960017,0.00005837019,0.000044036,0.0008622178,0.00002376988,0.000476087,0.00002982642,0.00002630014],"category_scores_gemma":[0.0006366012,0.00002185066,0.00002884225,0.0008825094,0.00324504,0.0001435515,0.0000234818,0.00003001582,0.000001410123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008181112,"about_ca_system_score_gemma":0.001399394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1015381,"about_ca_topic_score_gemma":0.4977252,"domain_scores_codex":[0.998733,0.0001624248,0.0001788651,0.0001232047,0.0005329738,0.0002694941],"domain_scores_gemma":[0.9994774,0.00005782138,0.0001107276,0.0001262246,0.0001182723,0.0001095242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002105172,0.00000585037,0.8244326,0.000003941344,0.000001239462,5.923214e-8,0.04163672,1.868904e-7,0.004864451,0.1199545,0.000284847,0.008813547],"study_design_scores_gemma":[0.00008288282,0.0000111116,0.9749769,0.00002589732,0.000001943009,8.251565e-9,0.01226382,0.000001371389,0.003145599,0.007256584,0.002188429,0.00004547116],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580271,0.0000156619,0.000001572165,0.01254589,0.0002572576,0.0002462482,0.00000669721,0.000003218683,0.02889639],"genre_scores_gemma":[0.999625,0.00001881078,0.00000601646,0.0000738832,0.00004838304,0.00001204943,1.214819e-7,0.000001734292,0.0002140103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3961871,"threshold_uncertainty_score":0.9994676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09239095127586447,"score_gpt":0.3659941800717335,"score_spread":0.2736032287958691,"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."}}