{"id":"W3154033712","doi":"10.1007/s11205-021-02692-w","title":"Does Unpaid Caregiving Erode Working Hours Among Middle-Aged Chinese Adults?","year":2021,"lang":"en","type":"article","venue":"Social Indicators Research","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"National Institute on Aging; East China Normal University; National Social Science Fund of China; National Natural Science Foundation of China; United Nations Fund for Population Activities","keywords":"Demography; Grandchild; Medicine; Gerontology; Psychology; Work hours; Unpaid work; Working hours; Work (physics); Grandparent; Developmental psychology; Labour economics; Economics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003319092,0.0001875662,0.0002679962,0.0004265429,0.004324601,0.0005528191,0.0006590563,0.0003299147,0.0004008925],"category_scores_gemma":[0.001580566,0.000151383,0.0002294473,0.002517824,0.000913111,0.0002581272,0.000327974,0.001003481,0.00003499027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006617058,"about_ca_system_score_gemma":0.001099663,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003575504,"about_ca_topic_score_gemma":0.05892406,"domain_scores_codex":[0.9943272,0.001646207,0.0003196574,0.0005774471,0.002057318,0.001072133],"domain_scores_gemma":[0.9982616,0.0005331461,0.0001167396,0.0002480921,0.0005585113,0.0002819218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003157745,0.0001267848,0.8194622,0.0000436406,0.0001060891,0.0001105577,0.1350237,0.00001197531,0.0005736902,0.03560868,0.002054611,0.006846418],"study_design_scores_gemma":[0.0009494938,0.0000602111,0.6305065,0.0006729896,0.00003040637,0.000001513368,0.337548,0.0002762564,0.000579042,0.009760157,0.01848899,0.001126397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963124,0.0002387026,0.00004853981,0.001815256,0.001130289,0.0002503544,0.00001835954,0.0000939075,0.03328062],"genre_scores_gemma":[0.9913363,0.0001845745,0.00008812952,0.000107534,0.002612944,0.00007065041,0.00004758666,0.0000433895,0.005508846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2025243,"threshold_uncertainty_score":0.9969716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03957230439553078,"score_gpt":0.3622439929678317,"score_spread":0.3226716885723009,"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."}}