{"id":"W3213096807","doi":"10.1093/eurpub/ckab165.051","title":"Life expectancy loss due to the COVID-19 pandemic exemplified by Moscow","year":2021,"lang":"en","type":"article","venue":"European Journal of Public Health","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Life expectancy; Demography; Medicine; Population; Pandemic; Falling (accident); Mortality rate; Quarter (Canadian coin); Longevity; Gerontology; Coronavirus disease 2019 (COVID-19); Geography; Environmental health; Disease","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":[0.0004597998,0.0001697476,0.0002456911,0.0006029357,0.0002084033,0.0004205,0.0001761556,0.000208809,0.00172244],"category_scores_gemma":[0.001186343,0.00005971878,0.0003751701,0.000356921,0.000184476,0.0002327505,0.0007964889,0.0004611959,0.0002799784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000627933,"about_ca_system_score_gemma":0.0003909199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004346429,"about_ca_topic_score_gemma":0.002718884,"domain_scores_codex":[0.9998046,0.00005402271,0.00001729191,0.00002571778,0.00003811913,0.00006035065],"domain_scores_gemma":[0.9997337,0.00003666817,0.00008811291,0.00001513858,0.00005597257,0.00007036855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007208009,0.00008110882,0.9246873,0.0002080616,0.0003239755,0.001334549,0.00105428,0.003757281,0.005168782,0.001537544,0.004593635,0.0565327],"study_design_scores_gemma":[0.000007727808,0.0002271776,0.9909034,0.00006791718,0.0000759129,0.0006873559,0.0007280879,0.001566708,0.0007144277,0.000805581,0.004200445,0.00001519582],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921618,0.0017399,0.0006213166,0.0006804249,0.0001249902,0.00000959868,0.001540564,0.00002610073,0.00309537],"genre_scores_gemma":[0.9981738,0.0004122125,0.00008485142,0.00003298471,0.00002307186,0.000005717329,0.0009440173,0.000003162037,0.0003201292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004346429,"threshold_uncertainty_score":0.008642256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1778397687986557,"score_gpt":0.3889344876678171,"score_spread":0.2110947188691614,"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."}}