{"id":"W4404910385","doi":"10.2139/ssrn.5041657","title":"Housing, Health and Life Expectancy Inequality in China","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Life expectancy; Inequality; China; Demographic economics; Expectancy theory; Economics; Sociology; Political science; Demography; Mathematics","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":[0.0005374974,0.000247972,0.00040422,0.001777802,0.0009533686,0.0008778007,0.0003902906,0.0004257145,0.002796349],"category_scores_gemma":[0.0009210886,0.0001820258,0.0004308345,0.002794773,0.0005136288,0.0006045996,0.0009590174,0.0004442724,0.0001568483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001860608,"about_ca_system_score_gemma":0.002783179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1948028,"about_ca_topic_score_gemma":0.2484952,"domain_scores_codex":[0.9995893,0.00006122766,0.00003664183,0.00009383019,0.0000579547,0.0001611111],"domain_scores_gemma":[0.9994148,0.00005585533,0.0001682568,0.00004028039,0.00009054344,0.0002302474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006995026,0.00006907403,0.9916666,0.0000317542,0.000153582,0.0001617485,0.0004504025,0.0004058973,0.0001280524,0.00144574,0.000730499,0.004686777],"study_design_scores_gemma":[0.000005747862,0.00002174722,0.9977969,0.000008333942,0.00003410258,0.00001852044,0.000429716,0.0008244055,0.00001745573,0.0004124547,0.000424087,0.000006492282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971107,0.0005403172,0.00008584849,0.0005759186,0.0000147009,0.000004546879,0.0006667749,0.000004647591,0.0009964408],"genre_scores_gemma":[0.9993087,0.0001139747,0.00001991068,0.00002405719,0.00001261577,0.000002428138,0.0002070388,8.966375e-7,0.0003102906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1948028,"threshold_uncertainty_score":0.3873377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02790554110863692,"score_gpt":0.3676928362167002,"score_spread":0.3397872951080633,"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."}}