{"id":"W4288724431","doi":"10.1007/s10433-022-00717-y","title":"Gender differences in access to community-based care: a longitudinal analysis of widowhood and living arrangements","year":2022,"lang":"en","type":"article","venue":"European Journal of Ageing","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Institute on Aging; Canadian Institutes of Health Research; Austrian Science Fund; Svenska Forskningsrådet Formas","keywords":"Gerontology; Long-term care; Inequality; Health care; Equity (law); Public health; Longitudinal study; Psychology; Medicine; Nursing; Economic growth; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00204907,0.0002192693,0.0003440288,0.0006620428,0.0006229853,0.00088282,0.0004146364,0.0005507525,0.001596101],"category_scores_gemma":[0.003859204,0.0002573294,0.0008235392,0.0009200313,0.0002571412,0.0009412389,0.001055228,0.000797069,0.0002762148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003549693,"about_ca_system_score_gemma":0.0005623761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02278346,"about_ca_topic_score_gemma":0.02687792,"domain_scores_codex":[0.9993549,0.0001685351,0.00004968886,0.0001401466,0.00007100543,0.000215682],"domain_scores_gemma":[0.9987957,0.000213618,0.0004193572,0.0001275379,0.0002037997,0.0002398446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000102331,0.00004849148,0.9959007,0.00001048494,0.00009218491,0.00007662475,0.0009389219,0.00003566656,0.00008566854,0.00008211468,0.0002035855,0.002423202],"study_design_scores_gemma":[0.00000311434,0.00008715738,0.9971122,0.00002912443,0.00004692457,0.0001001005,0.001806344,0.0002268018,0.00003154901,0.00008277866,0.000466955,0.00000707329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986749,0.0003580446,0.0001469813,0.00006517666,0.000009469371,0.000006838026,0.0005082518,0.000001557778,0.0002286962],"genre_scores_gemma":[0.998863,0.0001470289,0.0001099084,0.00003996067,0.000005397973,0.00001314204,0.0005335055,0.000002360733,0.0002858256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02278346,"threshold_uncertainty_score":0.04530168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06305128520770244,"score_gpt":0.3128212630633556,"score_spread":0.2497699778556532,"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."}}