{"id":"W4406203788","doi":"10.4054/demres.2025.52.3","title":"Jointly estimating subnational mortality for multiple populations","year":2025,"lang":"en","type":"article","venue":"Demographic Research","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute on Aging","keywords":"Geography; Demography; Sociology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.006559341,0.0007938577,0.00166745,0.001310012,0.0004070119,0.001063545,0.001547168,0.0007729178,0.002238269],"category_scores_gemma":[0.01431132,0.0006570478,0.001728007,0.001180654,0.0006910237,0.001430568,0.002603132,0.001407794,0.0003442841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00120048,"about_ca_system_score_gemma":0.001932247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03077552,"about_ca_topic_score_gemma":0.03134733,"domain_scores_codex":[0.9976953,0.001262518,0.0001250366,0.0006033883,0.0001837823,0.0001300774],"domain_scores_gemma":[0.9934939,0.004343337,0.0008339955,0.0006377121,0.0005063144,0.0001847707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001568913,0.000122298,0.1648331,0.0001176381,0.001008509,0.0002216868,0.0004495464,0.7349687,0.0006339641,0.0107261,0.00191496,0.08484665],"study_design_scores_gemma":[0.00001837662,0.00007661693,0.02696729,0.00003695101,0.0001474149,0.0000867409,0.000186433,0.9552044,0.0003069258,0.01559833,0.00133906,0.00003144653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3392363,0.0007558478,0.6546702,0.0009238317,0.00005374743,0.000178882,0.0021326,0.0003257496,0.001722777],"genre_scores_gemma":[0.8449269,0.0004692299,0.1484248,0.000150901,0.0000773288,0.0003028439,0.003004811,0.00006662315,0.002576492],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03077552,"threshold_uncertainty_score":0.06119275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2751081046690669,"score_gpt":0.5254014937431906,"score_spread":0.2502933890741237,"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."}}