{"id":"W4224063122","doi":"10.31235/osf.io/uqwxj","title":"Using Singular Value Decomposition to Understand Variation Across Mortality Schedules from Multiple Populations","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Inequality; Mortality rate; Decomposition; Key (lock); Demography; Econometrics; Mathematics; Biology; Ecology; 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":[0.004368957,0.001010135,0.0007454118,0.003520645,0.0003877636,0.001375535,0.0005716695,0.0004986281,0.001104792],"category_scores_gemma":[0.01350154,0.000274662,0.001354972,0.003073001,0.000962732,0.001282042,0.001163905,0.001486707,0.0002564902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006725493,"about_ca_system_score_gemma":0.001131976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005113375,"about_ca_topic_score_gemma":0.003120762,"domain_scores_codex":[0.9988258,0.000465011,0.0001138756,0.0002700999,0.000241439,0.00008377174],"domain_scores_gemma":[0.9946425,0.002933621,0.0009325799,0.0007766098,0.0005537198,0.000160987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002022847,0.0002756348,0.08472709,0.0005946982,0.001547042,0.0007130454,0.002315212,0.2505606,0.01873497,0.1968629,0.008374378,0.4350921],"study_design_scores_gemma":[0.00002979495,0.0001305216,0.04540778,0.0001153389,0.0001554287,0.0001814406,0.0005960934,0.6097272,0.002536102,0.3337933,0.007239688,0.00008734187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05817369,0.0005068149,0.9381093,0.0005631291,0.0001037857,0.0000776931,0.0007552753,0.000271776,0.001438583],"genre_scores_gemma":[0.5024051,0.001419949,0.4901213,0.0003220043,0.0003272314,0.0003060995,0.003008728,0.0001818816,0.001907734],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005113375,"threshold_uncertainty_score":0.02310556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1847193873607983,"score_gpt":0.4551198232856816,"score_spread":0.2704004359248833,"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."}}