{"id":"W4206174975","doi":"10.1126/science.abm5154","title":"COVID mortality in India: National survey data and health facility deaths","year":2022,"lang":"en","type":"article","venue":"Science","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":189,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Coronavirus disease 2019 (COVID-19); Demography; Medicine; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Confidence interval; Mortality rate; Environmental health; Virology; Outbreak; Internal medicine; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006564748,0.0001799065,0.0002130297,0.002956832,0.0002930145,0.0006590484,0.000571111,0.0002614866,0.001682532],"category_scores_gemma":[0.002308248,0.0002098457,0.0004964704,0.005354969,0.0002573176,0.0004944015,0.0008196489,0.0005220529,0.0005592529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009686952,"about_ca_system_score_gemma":0.001028041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06683275,"about_ca_topic_score_gemma":0.07569299,"domain_scores_codex":[0.9992028,0.0001928524,0.0001249359,0.000118014,0.0001706685,0.0001907092],"domain_scores_gemma":[0.9980234,0.0004245931,0.000811749,0.0001893496,0.0003323237,0.0002186258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005206034,0.00002076609,0.9940966,0.00007009961,0.00005942586,0.00005266225,0.0003179337,0.0002344122,0.00006432144,0.0002111482,0.002065611,0.002754941],"study_design_scores_gemma":[0.000001505974,0.00001679735,0.998598,0.00001528484,0.00001332407,0.00009691765,0.0003606323,0.0001238277,0.0000421836,0.00003546099,0.0006911075,0.000004930383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9434476,0.0008875116,0.0003042844,0.0005645821,0.0000281651,0.00003440349,0.04711885,0.00006921709,0.007545385],"genre_scores_gemma":[0.9804521,0.0004412583,0.0002285867,0.0001113163,0.00001827153,0.00003314722,0.01808194,0.000009608616,0.0006237308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06683275,"threshold_uncertainty_score":0.1328875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7159464026726674,"score_gpt":0.5589857407714813,"score_spread":0.1569606619011861,"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."}}