{"id":"W4289637440","doi":"10.1038/s41586-022-04826-7","title":"A first update on mapping the human genetic architecture of COVID-19","year":2022,"lang":"en","type":"letter","venue":"Nature","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":174,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Université de Montréal; McGill Genome Centre; Jewish General Hospital; Centre Hospitalier de l’Université de Montréal; McGill University","funders":"Medical Research Council; National Institutes of Health; Wellcome Trust; National Institute of Environmental Health Sciences; European Hematology Association","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Architecture; Computational biology; Biology; Evolutionary biology; Computer science; Virology; Geography; Medicine; Disease; Outbreak; Infectious disease (medical specialty)","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":[0.003387519,0.0005438757,0.0008919967,0.001548095,0.0009839296,0.002051496,0.001140811,0.00584856,0.007895734],"category_scores_gemma":[0.0188045,0.0004485323,0.0006554152,0.001185891,0.001019449,0.002014737,0.001027346,0.007537579,0.006790179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001567801,"about_ca_system_score_gemma":0.001639213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003377935,"about_ca_topic_score_gemma":0.007949722,"domain_scores_codex":[0.9983353,0.0004357938,0.0003025904,0.0002297788,0.0005535685,0.0001429283],"domain_scores_gemma":[0.9812968,0.0110116,0.0007153394,0.001108737,0.004779485,0.001088051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001060054,0.00002790141,0.002311788,0.0003951244,0.00007110946,0.001009264,0.00009465899,0.00003897562,0.0007758902,0.001502126,0.8945057,0.09916141],"study_design_scores_gemma":[0.00005544271,0.00005101896,0.003789371,0.000759823,0.0001066754,0.001775743,0.0001062898,0.00008757619,0.0003055453,0.002835779,0.9900988,0.00002795201],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002938287,0.09797082,0.003660367,0.7658281,0.1037711,0.00007310551,0.002940782,0.0004627601,0.0223546],"genre_scores_gemma":[0.01946198,0.101497,0.005225538,0.6123852,0.2337291,0.0001897467,0.003090857,0.000217612,0.02420296],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007895734,"threshold_uncertainty_score":0.02641386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04037822549444713,"score_gpt":0.3404947028558659,"score_spread":0.3001164773614188,"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."}}