{"id":"W4389658814","doi":"10.4054/demres.2023.49.41","title":"The formal demography of kinship V: Kin loss, bereavement, and causes of death","year":2023,"lang":"en","type":"article","venue":"Demographic Research","topic":"Grief, Bereavement, and Mental Health","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Aging; Government of Canada; National Institutes of Health; National Institute of Child Health and Human Development; Canadian Institutes of Health Research; European Commission","keywords":"Kinship; Next of kin; Demography; Fictive kinship; Genealogy; Gerontology; Sociology; Medicine; Geography; History; Anthropology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004697588,0.0001714387,0.0002880113,0.001095439,0.0006034996,0.00003105494,0.0004702409,0.0001417218,0.000055611],"category_scores_gemma":[0.00007706783,0.0001245737,0.000152851,0.002690577,0.001169568,0.0000974318,0.0002706994,0.0004565293,0.00002662732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001675436,"about_ca_system_score_gemma":0.00007135083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002133851,"about_ca_topic_score_gemma":0.00105734,"domain_scores_codex":[0.9963863,0.0006167693,0.0005783901,0.000393015,0.0008775262,0.001147923],"domain_scores_gemma":[0.9976078,0.001100335,0.0001620617,0.0006606236,0.0002361334,0.0002330729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002386482,0.0001830384,0.8830566,0.0003143977,0.0001976069,0.00001884829,0.001188133,2.24209e-7,0.0004820868,0.102283,0.004865925,0.007171436],"study_design_scores_gemma":[0.001069374,0.0007521824,0.9734414,0.0001027942,0.00002070623,0.00001024153,0.003642159,0.000008702264,0.0009870974,0.01308286,0.006757438,0.0001250958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902685,0.00173122,0.00001175303,0.0005066873,0.0002477805,0.0007335526,0.00006811253,0.00004517457,0.006387173],"genre_scores_gemma":[0.9944555,0.004571707,0.00003111779,0.0000495835,0.00006105873,0.0001405832,0.00003039912,0.00002848748,0.0006315568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09038468,"threshold_uncertainty_score":0.5079968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.136452079173487,"score_gpt":0.4385159869447769,"score_spread":0.3020639077712899,"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."}}