{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005717011,0.0003853776,0.0002747662,0.001309901,0.000151953,0.0008951336,0.0002559305,0.0003174691,0.008279147],"category_scores_gemma":[0.003432275,0.00008302142,0.0004957377,0.002340357,0.0003248175,0.0009002215,0.0009070724,0.0005475716,0.001886158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005553084,"about_ca_system_score_gemma":0.0002590829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002296751,"about_ca_topic_score_gemma":0.001402228,"domain_scores_codex":[0.9996954,0.00008102359,0.00001757205,0.0000751659,0.0000702526,0.00006059435],"domain_scores_gemma":[0.9993713,0.0001632843,0.0002020349,0.00006645024,0.0001358923,0.0000609534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008798763,0.00009036548,0.3079829,0.002080662,0.001205976,0.0007773609,0.002035976,0.04168969,0.001589599,0.1465624,0.1629553,0.3321499],"study_design_scores_gemma":[0.00005284645,0.0005011634,0.5579203,0.001413664,0.0003351159,0.002894624,0.001937209,0.0123639,0.001097836,0.1066357,0.314755,0.00009270048],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6185226,0.04800432,0.02474125,0.007540312,0.001934838,0.00007830296,0.1362796,0.0005337942,0.162365],"genre_scores_gemma":[0.9307665,0.01798028,0.003208862,0.0007057695,0.0003223526,0.0001410753,0.03374558,0.0001280367,0.01300162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008279147,"threshold_uncertainty_score":0.02769649,"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."}}