{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03371996,0.0002915524,0.001018658,0.0002942764,0.0005083266,0.0001729887,0.0005106066,0.00007938359,0.0004593728],"category_scores_gemma":[0.0132282,0.0001972806,0.0002358054,0.001143971,0.00007360405,0.0002136615,0.0001184334,0.001265644,0.000177943],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002213,"about_ca_system_score_gemma":0.03527123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004480237,"about_ca_topic_score_gemma":0.0001377579,"domain_scores_codex":[0.9826469,0.01180873,0.002489444,0.00048285,0.001240662,0.001331351],"domain_scores_gemma":[0.9860792,0.0004080815,0.0009893961,0.0008237705,0.0009770897,0.01072246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005273965,0.0003354804,0.01704945,0.0007514574,0.0001363975,0.002273915,0.01016975,0.000005188051,0.0001010663,0.0008334189,0.8474438,0.1208474],"study_design_scores_gemma":[0.001800962,0.0009677563,0.01315332,0.000166227,0.000009472804,0.0101907,0.00330741,0.00000684189,0.00000273106,0.00001559927,0.9702206,0.0001584336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08814356,0.008152908,0.07554976,0.8217692,0.00146478,0.0006594197,0.00006701257,0.0000951953,0.004098106],"genre_scores_gemma":[0.7500908,0.0009957359,0.0008317186,0.2439459,0.002579175,0.000006453439,0.00003252718,0.00008857525,0.001429117],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.6619472,"threshold_uncertainty_score":0.9950838,"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."}}