{"id":"W3032677328","doi":"10.1192/j.eurpsy.2020.56","title":"Years of life lost due to the psychosocial consequences of COVID-19 mitigation strategies based on Swiss data","year":2020,"lang":"en","type":"article","venue":"European Psychiatry","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pandemic; Years of potential life lost; Context (archaeology); Psychosocial; Social isolation; Environmental health; Public health; Population; Medicine; Coronavirus disease 2019 (COVID-19); Disease; Geography; Psychiatry; Life expectancy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006212954,0.0001353071,0.0002168957,0.00006636559,0.00007923207,0.00002083098,0.0008189781,0.00004201968,0.0005494746],"category_scores_gemma":[0.000201066,0.0001180391,0.00006449294,0.0003502757,0.0002043896,0.00005839797,0.00008357095,0.0001853924,0.0004694008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002862677,"about_ca_system_score_gemma":0.001305685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004309952,"about_ca_topic_score_gemma":0.0002618436,"domain_scores_codex":[0.9979868,0.0006508143,0.0004533063,0.0004342284,0.0002722346,0.0002026252],"domain_scores_gemma":[0.9984338,0.0001987541,0.0002612477,0.0007576427,0.00002800403,0.0003205724],"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":[0.0044787,0.001248027,0.04372732,0.001395261,0.0002277281,0.00007950189,0.04202612,0.00108663,0.001273225,0.07087895,0.8208936,0.01268491],"study_design_scores_gemma":[0.008881129,0.005362992,0.4093152,0.000601795,0.0001997474,0.00001721072,0.0751428,0.0003853727,0.0001273135,0.003386654,0.4954429,0.001136813],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6551527,0.001250876,0.004894953,0.2679446,0.005470897,0.001447414,0.001997886,0.0001498587,0.0616908],"genre_scores_gemma":[0.9505264,0.000006207482,0.0004466925,0.04825698,0.0005961402,0.000003404794,0.00008570643,0.00002728421,0.00005117515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3655879,"threshold_uncertainty_score":0.6033354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1019632043120106,"score_gpt":0.3984318089277024,"score_spread":0.2964686046156919,"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."}}