{"id":"W3162206455","doi":"10.1093/ije/dyab027","title":"Data Resource Profile: COVerAGE-DB: a global demographic database of COVID-19 cases and deaths","year":2021,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Research Council; National Institutes of Health","keywords":"Research council; Coronavirus disease 2019 (COVID-19); Political science; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Library science; Medicine; Family medicine","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":[0.003631508,0.001144718,0.001895778,0.008127061,0.0004911565,0.002548285,0.003416425,0.001847406,0.179569],"category_scores_gemma":[0.03501309,0.0009239718,0.0008600348,0.01408932,0.0003766912,0.003400718,0.002792376,0.001936084,0.06723659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453957,"about_ca_system_score_gemma":0.0036816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01468011,"about_ca_topic_score_gemma":0.01133858,"domain_scores_codex":[0.9971667,0.0005223468,0.001046902,0.0004707578,0.0005618047,0.0002314554],"domain_scores_gemma":[0.9742045,0.009029522,0.004464512,0.003176959,0.007230109,0.001894422],"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":[0.0002682642,0.00003918092,0.004628813,0.00175783,0.00006545794,0.00005465211,0.0001115355,0.0004463478,0.0001963204,0.001888181,0.9747292,0.01581416],"study_design_scores_gemma":[0.000371085,0.00004686699,0.01385666,0.00146974,0.00006979638,0.0001472567,0.0002897384,0.0007905388,0.0005981396,0.00274522,0.9795328,0.00008224173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001695389,0.00004817076,0.0003593172,0.0001543636,0.00002832853,0.00008546191,0.997195,0.0003659592,0.001593775],"genre_scores_gemma":[0.001808707,0.0001581079,0.001906869,0.0002085946,0.00003697138,0.0005461731,0.9942095,0.0002325654,0.0008925227],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.179569,"threshold_uncertainty_score":0.600718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4113107558694877,"score_gpt":0.5121363769744828,"score_spread":0.1008256211049951,"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."}}