{"id":"W4200223549","doi":"10.1016/j.ssmph.2021.101006","title":"Excess mortality in Russia and its regions compared to high income countries: An analysis of monthly series of 2020","year":2021,"lang":"en","type":"article","venue":"SSM - Population Health","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Health of the Russian Federation; Ministry of Education and Science of the Russian Federation","keywords":"Excess mortality; Demography; Context (archaeology); Geography; Mortality rate; Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Medicine; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004900518,0.0001104658,0.000828812,0.0003762806,0.00007022591,0.000008496782,0.00004478756,0.00007559,0.00005078345],"category_scores_gemma":[0.0002248697,0.0001099012,0.00005116277,0.001454635,0.00002756017,0.0001701364,0.00002759033,0.000107485,5.337308e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002606362,"about_ca_system_score_gemma":0.0007839231,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03372457,"about_ca_topic_score_gemma":0.08802214,"domain_scores_codex":[0.9981885,0.0001902145,0.0008000772,0.0002651512,0.0003314055,0.0002246772],"domain_scores_gemma":[0.9986485,0.00007845238,0.000296888,0.0003498476,0.0002492856,0.0003770272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001845942,0.00008892003,0.9902616,0.001096894,0.00008096293,0.000009188465,0.003630583,0.001230655,0.00002677137,0.003196418,0.00002590851,0.0001675592],"study_design_scores_gemma":[0.0005342414,0.0002286791,0.9954648,0.0002429561,0.0001329661,0.000002087566,0.0007530418,0.00211366,0.00004551544,0.0003017861,0.0001053135,0.00007498071],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863715,0.0005240089,0.00003639432,0.01235742,0.00005679433,0.0003967584,0.000219173,0.00002068089,0.00001727186],"genre_scores_gemma":[0.9972309,0.0002377827,0.0002486015,0.001658098,0.00003708697,0.00000793805,0.0005380604,0.000009406522,0.00003213485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05429757,"threshold_uncertainty_score":0.97271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07779575665489663,"score_gpt":0.4320239445786107,"score_spread":0.354228187923714,"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."}}