{"id":"W2110858727","doi":"10.1177/0164027503025003003","title":"Time Use at Older Ages","year":2003,"lang":"en","type":"article","venue":"Research on Aging","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":168,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Demography; Demographic economics; Gerontology; Retirement age; Geography; Medicine; Political science; Economics; Sociology; Pension","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003321813,0.0002022094,0.0002697241,0.00219591,0.0004032365,0.0007966832,0.0002219232,0.0002981645,0.003749862],"category_scores_gemma":[0.002423302,0.00009332366,0.0006184587,0.002272835,0.0001535589,0.000726019,0.0005484693,0.000317043,0.0004686398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000441514,"about_ca_system_score_gemma":0.0002868784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02392955,"about_ca_topic_score_gemma":0.02849145,"domain_scores_codex":[0.9996594,0.00005995521,0.00004908962,0.00006177875,0.00008921272,0.00008050172],"domain_scores_gemma":[0.9985946,0.0002205078,0.0006628639,0.00007811774,0.000253236,0.0001907483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008800078,0.00003001586,0.9720079,0.000106879,0.0001305588,0.00009674548,0.001409933,0.0002242052,0.000253794,0.000486594,0.0005822998,0.02458318],"study_design_scores_gemma":[0.000001171949,0.00003071965,0.9965726,0.00002675815,0.00003004749,0.00018136,0.0004105161,0.00006312029,0.00006089497,0.00009946345,0.002519708,0.00000360191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824118,0.004387254,0.0003722843,0.0001986325,0.00002418256,0.00002000074,0.004613233,0.0000110537,0.007961678],"genre_scores_gemma":[0.9933809,0.001948256,0.0003090681,0.00004788755,0.00002459296,0.00001790274,0.002020232,0.000004752384,0.002246289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02392955,"threshold_uncertainty_score":0.04758054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5438737447833201,"score_gpt":0.5593068883461231,"score_spread":0.01543314356280301,"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."}}