{"id":"W4220732247","doi":"10.1101/2022.03.07.22271833","title":"GWAS and meta-analysis identifies multiple new genetic mechanisms underlying severe Covid-19","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Global Health Research","funders":"Medical Research Council; Intensive Care Society; National Institute for Health and Care Research; UK Research and Innovation; Biotechnology and Biological Sciences Research Council; Public Health England; Department of Health and Social Care; Research Councils UK; LifeArc; Wellcome Trust","keywords":"Genome-wide association study; Disease; Biology; Genotyping; Phenotype; Coronavirus disease 2019 (COVID-19); Bioinformatics; Medicine; Computational biology; Genetics; Genotype; Single-nucleotide polymorphism; Gene; Internal medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001058903,0.0005740131,0.00207999,0.001074474,0.0003505093,0.0002286137,0.0006570596,0.0003474788,0.001571835],"category_scores_gemma":[0.001190707,0.0004993911,0.001623104,0.0009487266,0.0001316827,0.00006261285,0.001905899,0.00125609,0.00005352807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003486096,"about_ca_system_score_gemma":0.00140873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004387864,"about_ca_topic_score_gemma":0.00124361,"domain_scores_codex":[0.9953275,0.000421532,0.0006989501,0.001465784,0.001488256,0.0005979827],"domain_scores_gemma":[0.9968893,0.0007212225,0.0002846752,0.001621771,0.00013051,0.0003525174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0008256976,0.0007718122,0.232563,0.009202704,0.6515157,0.005959296,0.01046943,0.003172091,0.07816693,0.001017524,0.004516992,0.001818899],"study_design_scores_gemma":[0.004494571,0.0004068209,0.04082648,0.00003001488,0.7998243,0.0002927306,0.002664914,0.007027236,0.01744469,0.04950916,0.07521746,0.002261649],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8982419,0.01809834,0.07334881,0.005672345,0.0005688922,0.002651736,0.0001746017,0.0004386383,0.0008047394],"genre_scores_gemma":[0.9418935,0.0001003379,0.005158419,0.04864587,0.0001055929,0.0005581324,0.00007296222,0.0001227506,0.003342442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1917365,"threshold_uncertainty_score":0.9997458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2195049976220798,"score_gpt":0.4090099507387743,"score_spread":0.1895049531166944,"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."}}