{"id":"W4402976802","doi":"10.1016/j.insmatheco.2024.09.003","title":"Egalitarian pooling and sharing of longevity risk a.k.a. can an administrator help skin the tontine cat?","year":2024,"lang":"en","type":"article","venue":"Insurance Mathematics and Economics","topic":"Diet and metabolism studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada; Fonds Wetenschappelijk Onderzoek; Fonds De La Recherche Scientifique - FNRS","keywords":"Longevity; Pooling; Longevity risk; Medicine; Gerontology; Computer science; Artificial intelligence","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":[0.006165338,0.0002283856,0.0008357044,0.0005514767,0.002320296,0.004842906,0.0008351667,0.00447927,0.03185992],"category_scores_gemma":[0.02928296,0.0002438208,0.0005591953,0.000638077,0.003364124,0.006469994,0.001940873,0.005099659,0.002550109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001885642,"about_ca_system_score_gemma":0.001906967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005716251,"about_ca_topic_score_gemma":0.005771686,"domain_scores_codex":[0.9984199,0.0008860743,0.00006876732,0.0002257881,0.0002101663,0.0001892501],"domain_scores_gemma":[0.9920208,0.005357274,0.0006858956,0.0008107109,0.0005915361,0.0005337673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002472552,0.00006897025,0.004381059,0.00005043652,0.00006434831,0.0002304199,0.0007910707,0.0008403339,0.0002569155,0.7970107,0.1625755,0.03348305],"study_design_scores_gemma":[0.00005901834,0.0000386264,0.004069736,0.0001250112,0.00002952874,0.0001611499,0.0007497024,0.003063448,0.0002794919,0.921216,0.07016812,0.00004028749],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02216258,0.005844173,0.01037999,0.8933138,0.002279361,0.00002177561,0.0002031547,0.00008949124,0.06570564],"genre_scores_gemma":[0.7855441,0.01187049,0.01030423,0.09357113,0.007400265,0.0001384053,0.0001064232,0.0001944711,0.09087047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03185992,"threshold_uncertainty_score":0.106582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02135908964303816,"score_gpt":0.2671341650652172,"score_spread":0.245775075422179,"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."}}