{"id":"W4382363816","doi":"10.22617/wps230213-2","title":"Gender and the Total Work of Older Workers in Asia","year":2023,"lang":"en","type":"report","venue":"","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Dhaka; Sustainable Development Technology Canada; Asian Development Bank","keywords":"Work (physics); Worry; Population ageing; Older people; Unpaid work; China; Care work; Demographic economics; Economic growth; Population; Labour economics; Development economics; Gerontology; Political science; Psychology; Economics; Sociology; Medicine; Demography; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000917099,0.0002277808,0.0002478441,0.0009401521,0.0009286432,0.0009902139,0.0004391906,0.000271286,0.005346293],"category_scores_gemma":[0.001153331,0.000187517,0.000432318,0.001224706,0.0005532498,0.0006886793,0.001654816,0.000437463,0.0008379807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007475466,"about_ca_system_score_gemma":0.001119057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04846966,"about_ca_topic_score_gemma":0.1160527,"domain_scores_codex":[0.9996279,0.00006736429,0.00003458161,0.00003106588,0.00007653215,0.0001625548],"domain_scores_gemma":[0.9986886,0.0001502266,0.000385483,0.00007321418,0.0002615766,0.00044089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001112422,0.00005769471,0.9548279,0.0001223004,0.00005040387,0.0002399819,0.01046441,0.0001189091,0.0003525801,0.001441414,0.003585033,0.02862815],"study_design_scores_gemma":[0.000007113348,0.00006110971,0.968739,0.0001917026,0.0000295207,0.0002609326,0.02118935,0.00006171259,0.0001061715,0.0004010722,0.00894344,0.000008835954],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.968173,0.002723956,0.0001334021,0.001550386,0.00007372406,0.00001160111,0.001408695,0.000008459298,0.02591688],"genre_scores_gemma":[0.9880823,0.002615795,0.0001208847,0.0004305393,0.00004387306,0.00001675051,0.0004842124,0.000009381091,0.008196313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04846966,"threshold_uncertainty_score":0.09637505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.186864528295742,"score_gpt":0.4631673049865897,"score_spread":0.2763027766908477,"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."}}