{"id":"W4296048514","doi":"10.1017/s0144686x22001039","title":"Do the living arrangements of older people matter for the family transfers they receive? Evidence from Senegal","year":2022,"lang":"en","type":"article","venue":"Ageing and Society","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Centre de Recherche et d’Expertise en Gérontologie Sociale","keywords":"Spouse; Poverty; Context (archaeology); Income Support; Welfare; Psychological intervention; Social support; Safety net; Extended family; Survey data collection; Demographic economics; Gerontology; Psychology; Economic growth; Medicine; Economics; Sociology; Social psychology; Geography; Environmental health; Psychiatry","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":[0.004318293,0.0008418394,0.0007525162,0.002290275,0.001175541,0.001529794,0.0009933298,0.0007902398,0.008242792],"category_scores_gemma":[0.01242001,0.0004109537,0.001768226,0.004018199,0.001766845,0.001481789,0.002778851,0.0009683486,0.0005407677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008935325,"about_ca_system_score_gemma":0.001082108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07188466,"about_ca_topic_score_gemma":0.1060449,"domain_scores_codex":[0.9968142,0.001867855,0.0002738107,0.0003428376,0.0001870314,0.0005142865],"domain_scores_gemma":[0.988298,0.004438417,0.004992631,0.0007368838,0.0008875615,0.0006464634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008882904,0.0001382813,0.9708471,0.0008578931,0.001820473,0.0007295768,0.005038549,0.0001016864,0.0000973311,0.0007469452,0.0008665885,0.01786724],"study_design_scores_gemma":[0.00003767491,0.0001834568,0.9859093,0.0009861583,0.0008513698,0.0002226825,0.009395668,0.00007065798,0.00005608558,0.0002450797,0.002024167,0.00001766202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810465,0.01340895,0.0001183829,0.001107587,0.00004690317,0.00001669579,0.001041985,0.000002508948,0.003210476],"genre_scores_gemma":[0.9953007,0.003879494,0.00004085679,0.0002454399,0.00001512825,0.00001292909,0.0002505268,0.000002368938,0.000252483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07188466,"threshold_uncertainty_score":0.1429325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824556591364546,"score_gpt":0.2722760362161477,"score_spread":0.2540304703025022,"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."}}