{"id":"W3143560881","doi":"10.3390/healthcare9040415","title":"How Do Middle-Aged Chinese Men and Women Balance Caregiving and Employment Income?","year":2021,"lang":"en","type":"article","venue":"Healthcare","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institutes of Health; East China Normal University; National Social Science Fund of China; National Natural Science Foundation of China; United Nations Fund for Population Activities","keywords":"Endogeneity; Instrumental variable; Psychology; Health and Retirement Study; Balance (ability); Household income; China; Demographic economics; Demography; Gerontology; Economics; Medicine; Sociology; Political science; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003758235,0.0001096625,0.0001699266,0.00003888229,0.0006646194,0.0002888419,0.00007870232,0.00007919327,0.00001879412],"category_scores_gemma":[0.0001424104,0.0001056658,0.00002470295,0.0001751703,0.00007916903,0.0001541637,0.00009533657,0.0001307138,7.977124e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00024647,"about_ca_system_score_gemma":0.0002143429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001349495,"about_ca_topic_score_gemma":0.01235332,"domain_scores_codex":[0.9987351,0.0002138969,0.0001256967,0.0002919219,0.0002925559,0.0003407977],"domain_scores_gemma":[0.9993449,0.00008305173,0.00005292999,0.0001325531,0.000167072,0.0002194784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009289874,0.00001710075,0.8577617,0.0001968628,0.00002599012,0.00004281515,0.1012658,0.000003548909,0.0004228022,0.03316922,0.0002069378,0.0068779],"study_design_scores_gemma":[0.0007474748,0.0001183172,0.7567043,0.0004253228,0.000009709141,0.00002374088,0.2134034,0.0008349715,0.00002794842,0.009309889,0.01777472,0.000620158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818976,0.003639237,0.00003803791,0.01190483,0.0002725533,0.0001335859,0.00002351909,0.00003253333,0.002058085],"genre_scores_gemma":[0.9946179,0.001250091,0.0001801854,0.0006087413,0.0002542318,0.00003626088,0.00001070748,0.00001210184,0.003029765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1121377,"threshold_uncertainty_score":0.6893443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558459770167284,"score_gpt":0.2856526501014114,"score_spread":0.2700680523997386,"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."}}