{"id":"W4220917165","doi":"10.1038/s41598-022-06505-z","title":"Disability-adjusted life years (DALYs) due to the direct health impact of COVID-19 in India, 2020","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Calgary","funders":"","keywords":"Life expectancy; Years of potential life lost; Context (archaeology); Demography; Pandemic; Medicine; Coronavirus disease 2019 (COVID-19); Population; Burden of disease; Disease burden; Geography; Gerontology; Disease; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001928312,0.0009785719,0.0005902802,0.001688804,0.0003171119,0.001713056,0.0009256538,0.0004193486,0.006566675],"category_scores_gemma":[0.004198771,0.0002761116,0.002770611,0.002208746,0.0004699902,0.001013151,0.002019377,0.001757937,0.001164156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002715091,"about_ca_system_score_gemma":0.002413451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02432414,"about_ca_topic_score_gemma":0.02739002,"domain_scores_codex":[0.9986645,0.0004128731,0.0001628408,0.0001319907,0.0003236663,0.0003040677],"domain_scores_gemma":[0.9988949,0.0003014005,0.0003134061,0.00005599851,0.0003119048,0.0001225154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00307442,0.0003405665,0.4758206,0.005295698,0.009582228,0.001619051,0.001154981,0.1016791,0.002791391,0.03584546,0.1112542,0.2515424],"study_design_scores_gemma":[0.0003648978,0.001689314,0.6366448,0.002935482,0.005394618,0.004220592,0.002403617,0.04608279,0.004516399,0.0296823,0.2656721,0.0003930119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6110792,0.06879058,0.03365979,0.01032867,0.002309429,0.0005546342,0.1946654,0.002140886,0.0764713],"genre_scores_gemma":[0.9457291,0.01212964,0.005010147,0.001319845,0.0001905407,0.0003322954,0.03008079,0.00007823309,0.005129387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02432414,"threshold_uncertainty_score":0.04836512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05630726655100657,"score_gpt":0.4033345353103209,"score_spread":0.3470272687593143,"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."}}