{"id":"W4300407696","doi":"10.48550/arxiv.1305.0113","title":"Divergence in age-patterns of mortality change drives international\\n divergence in lifespan inequality","year":2013,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Life expectancy; Inequality; Demography; Divergence (linguistics); Longevity; Demographic economics; Economics; Gerontology; Population; Medicine; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002971865,0.0009386343,0.001413814,0.001561361,0.0003322045,0.00014502,0.004623119,0.0007706737,0.001476242],"category_scores_gemma":[0.0002443461,0.001208657,0.0007391174,0.002894815,0.001450271,0.001602846,0.00432291,0.001316502,0.0001418389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009941952,"about_ca_system_score_gemma":0.0002272549,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2445617,"about_ca_topic_score_gemma":0.1324576,"domain_scores_codex":[0.9914191,0.001979947,0.001668386,0.002669704,0.0009596643,0.001303234],"domain_scores_gemma":[0.995163,0.0002600969,0.001787261,0.001802575,0.0005708243,0.0004162299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007641466,0.001070052,0.9356398,0.0004279323,0.0003269663,0.0004486942,0.01532003,0.00926673,0.00001384412,0.03669721,0.0000258094,0.0006865513],"study_design_scores_gemma":[0.0008880422,0.00005943004,0.968429,0.0006496969,0.0001583954,2.039873e-7,0.008222067,0.007262891,0.00002575874,0.01285211,0.0003707339,0.001081672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874626,0.0001453121,0.001342285,0.0001640133,0.003844159,0.00243724,0.0003552087,0.00008581662,0.004163371],"genre_scores_gemma":[0.9832042,0.01529256,0.00005114347,0.0001245285,0.0002833254,0.00003583084,0.00008147262,0.00003954823,0.0008873202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1121041,"threshold_uncertainty_score":0.9994366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1521275237127278,"score_gpt":0.2670166045540927,"score_spread":0.1148890808413648,"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."}}