{"id":"W2766753014","doi":"10.1080/13545701.2017.1383618","title":"Gender Inequalities in Labor Market Outcomes of Informal Caregivers near Retirement Age in Urban China","year":2017,"lang":"en","type":"article","venue":"Feminist Economics","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Central University of Finance and Economics; National Natural Science Foundation of China; International Development Research Centre","keywords":"Grandchild; Earnings; Inequality; Demographic economics; Longitudinal study; Health and Retirement Study; China; Longitudinal data; Ordinary least squares; Gender inequality; Labour economics; Economics; Medicine; Gerontology; Psychology; Demography; Grandparent; Political science; Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006165557,0.00009023435,0.0002054165,0.00006507827,0.0002747581,0.0001729238,0.0003559766,0.00007816125,0.00008454207],"category_scores_gemma":[0.0001102539,0.0001012713,0.00005833708,0.00002699112,0.0002311025,0.0002351352,0.00009679839,0.00008548819,0.000002854089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002170626,"about_ca_system_score_gemma":0.0002545145,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005797974,"about_ca_topic_score_gemma":0.04514964,"domain_scores_codex":[0.9991937,0.00004022306,0.0003313172,0.0001314563,0.00008913356,0.0002141298],"domain_scores_gemma":[0.9994571,0.00004380162,0.000209118,0.0002237584,0.00002408932,0.00004211438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001570688,0.00001707804,0.8016896,0.00001274154,0.00001173805,0.000004214308,0.04535636,0.0001645323,0.000001598033,0.1522245,0.0003690321,0.0001328633],"study_design_scores_gemma":[0.0003454747,0.00001650861,0.9617345,0.00001832292,0.000002973902,9.261996e-8,0.02318529,0.001186359,0.000005891066,0.00076875,0.01258658,0.0001492776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8161013,0.00001115689,0.000001392473,0.0002345958,0.0003955688,0.00009017374,0.0000608942,0.000004570744,0.1831004],"genre_scores_gemma":[0.9969358,0.00008013302,0.0001419212,0.0001305827,0.00006143746,0.000009712476,0.00001234147,0.000007307533,0.002620715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1808346,"threshold_uncertainty_score":0.9722739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02610166450681864,"score_gpt":0.2840648497300686,"score_spread":0.25796318522325,"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."}}