{"id":"W2394814837","doi":"10.1177/0164027515611184","title":"Informal Care and Labor Market Outcomes","year":2015,"lang":"en","type":"article","venue":"Research on Aging","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Endogeneity; Psychological intervention; Demographic economics; Work (physics); Time-use survey; Balance (ability); Instrumental variable; Psychology; China; Survey data collection; Gerontology; Labour economics; Medicine; Economics; Nursing; Political science; Econometrics","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":[0.001071248,0.0002800246,0.0002838869,0.002302484,0.0006131568,0.0005634728,0.0005081464,0.0002445427,0.003617098],"category_scores_gemma":[0.003608607,0.0001385691,0.000327084,0.002599722,0.0003192185,0.0003833881,0.0007576546,0.0004984713,0.0003360959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001015538,"about_ca_system_score_gemma":0.001019904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0601178,"about_ca_topic_score_gemma":0.08526406,"domain_scores_codex":[0.9992493,0.0001735671,0.0001285508,0.00008899498,0.0001719703,0.0001875852],"domain_scores_gemma":[0.9963774,0.0003496731,0.002201978,0.0001780744,0.0003764756,0.0005162538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004096115,0.00006526666,0.9964259,0.00002880267,0.00002929743,0.00006400612,0.0002648068,0.0001356368,0.00002939205,0.0001630397,0.0005306043,0.00222231],"study_design_scores_gemma":[0.000004797757,0.00003844014,0.9982746,0.00001413536,0.000009598951,0.00002285723,0.0003686867,0.0002581983,0.00002779936,0.00007747065,0.0008994719,0.000004035823],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877688,0.0002516143,0.0001251847,0.00009253052,0.000008346241,0.00009468544,0.009913146,0.000005779034,0.001739842],"genre_scores_gemma":[0.9909996,0.0001641648,0.0001225822,0.00003911109,0.00001178316,0.0001570809,0.007313164,0.000002208511,0.001190171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0601178,"threshold_uncertainty_score":0.1195357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0823315013783007,"score_gpt":0.4397358853237909,"score_spread":0.3574043839454902,"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."}}