{"id":"W4205775673","doi":"10.31235/osf.io/gveaj","title":"Global years of life lost to COVID-19","year":2020,"lang":"en","type":"preprint","venue":"SocArXiv (OSF Preprints)","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Years of potential life lost; Coronavirus disease 2019 (COVID-19); Demographics; Demography; Quarter (Canadian coin); 2019-20 coronavirus outbreak; Life expectancy; Excess mortality; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Geography; Medicine; Mortality rate; Disease; Population; Virology; Infectious disease (medical specialty); Sociology; Outbreak","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","metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003205186,0.0005934821,0.001893508,0.00008789212,0.0001034365,0.00004813174,0.001857686,0.0007017956,0.007635585],"category_scores_gemma":[0.1408501,0.0006215811,0.0007754131,0.0004706617,0.0003349569,0.00003783279,0.009862559,0.0008422306,0.01810071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055081,"about_ca_system_score_gemma":0.00100729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001147442,"about_ca_topic_score_gemma":0.0002024459,"domain_scores_codex":[0.9942591,0.0007875978,0.001422286,0.002257677,0.0006550835,0.0006182748],"domain_scores_gemma":[0.9907423,0.004582978,0.0007973542,0.002578494,0.0001973724,0.001101449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007206373,0.0006674583,0.2290338,0.006163575,0.002097284,0.0001393801,0.003916705,0.01109175,0.0001156007,0.1254663,0.61763,0.002957483],"study_design_scores_gemma":[0.0006254122,0.0000276987,0.04349883,0.0002046545,0.000285476,0.000002581599,0.0003086859,0.000297879,0.00003394728,0.9001358,0.05370345,0.0008755939],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6219673,0.0003255996,0.1859121,0.09113301,0.002487648,0.008396843,0.002107841,0.001858276,0.08581135],"genre_scores_gemma":[0.9655594,0.0002011975,0.01753786,0.01487441,0.000430216,0.0002912665,0.00002580469,0.00007867345,0.001001167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7746695,"threshold_uncertainty_score":0.9996235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2694728597763184,"score_gpt":0.4293757683972816,"score_spread":0.1599029086209633,"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."}}