{"id":"W7073885997","doi":"","title":"Trends in life expectancy and age-specific mortality in England and Wales, 1970–2016, in comparison with a set of 22 high-income countries: an analysis of vital statistics data","year":2019,"lang":"en","type":"article","venue":"MPG.PuRe (Max Planck Society)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Life expectancy; Context (archaeology); Mortality rate; Expectancy theory; Developed country; Longevity; Age groups; Excess mortality","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001607984,0.0002735443,0.0005169678,0.00282932,0.0002172942,0.000684857,0.0003212025,0.0002286198,0.001186209],"category_scores_gemma":[0.005007178,0.0002513693,0.0009928845,0.003883783,0.0002803213,0.0009460778,0.001189848,0.0004089789,0.0003811827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103591,"about_ca_system_score_gemma":0.001042407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05815733,"about_ca_topic_score_gemma":0.07680136,"domain_scores_codex":[0.9985926,0.0002629558,0.0004466729,0.0002410302,0.000250758,0.0002061126],"domain_scores_gemma":[0.9972622,0.0003471511,0.001246706,0.0001246726,0.0007755064,0.000243784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000135086,0.00001362661,0.9917502,0.0004003913,0.000412953,0.0001404368,0.0004228874,0.0002413611,0.0001578539,0.0001573011,0.001807239,0.004360711],"study_design_scores_gemma":[0.000007587294,0.00003515795,0.9973204,0.00008942086,0.00007039995,0.0001196769,0.0004155229,0.0001746738,0.00004561538,0.00002814788,0.001685133,0.000008298626],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661555,0.004211151,0.0002947783,0.00040047,0.000058619,0.00004202043,0.02755274,0.00001742613,0.001267405],"genre_scores_gemma":[0.9708785,0.002296071,0.0003065121,0.0001655247,0.00004088465,0.0001096822,0.02567378,0.000009772662,0.0005192423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05815733,"threshold_uncertainty_score":0.1156376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04836285528659168,"score_gpt":0.2512556332633817,"score_spread":0.20289277797679,"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."}}