{"id":"W3116003568","doi":"10.1186/s13073-020-00818-2","title":"Statistical power in COVID-19 case-control host genomic study design","year":2020,"lang":"en","type":"article","venue":"Genome Medicine","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Lunenfeld-Tanenbaum Research Institute; University of Waterloo; Sinai Health System; Hospital for Sick Children; Jewish General Hospital; SickKids Foundation; Ontario Power Generation; University of Toronto","funders":"University of Toronto; Innovation, Science and Economic Development Canada; Genome Canada","keywords":"Coronavirus disease 2019 (COVID-19); Human genetics; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Genome Biology; Computational biology; Host (biology); Statistical power; Genomic medicine; Biology; Medicine; Bioinformatics; Computer science; Virology; Genomics; Genetics; Infectious disease (medical specialty); Statistics; Mathematics; Genome; Internal medicine; Outbreak; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001616149,0.0003323859,0.0009168018,0.0003664052,0.0001102398,0.00002368844,0.0002725768,0.0001213451,0.0009057681],"category_scores_gemma":[0.003038538,0.0002599909,0.00006053343,0.0007103716,0.0003021351,0.00005955812,0.0001033675,0.0006642278,0.000425567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004754323,"about_ca_system_score_gemma":0.0008765539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008039903,"about_ca_topic_score_gemma":0.00009582051,"domain_scores_codex":[0.9966519,0.0004221436,0.000697848,0.0007476998,0.0007664205,0.000713978],"domain_scores_gemma":[0.9977726,0.0009711732,0.00008289854,0.0005034526,0.0001085995,0.0005612947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01301694,0.001998829,0.3366598,0.0007241812,0.0008447253,0.2777259,0.04442956,0.00006111418,0.3130965,0.0002646434,0.007304728,0.003873073],"study_design_scores_gemma":[0.1633185,0.04974693,0.4691545,0.0002510826,0.001743161,0.01040125,0.04544456,0.006827179,0.001004879,0.0005223577,0.2494699,0.002115685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9120959,0.003014196,0.06171047,0.0173873,0.0001726639,0.004217929,0.00006306805,0.0001733016,0.001165155],"genre_scores_gemma":[0.8304973,0.000006875745,0.0003264826,0.168548,0.0004428752,0.000106056,0.000006226684,0.00005074198,0.00001547075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3120916,"threshold_uncertainty_score":0.9999852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08373371022361077,"score_gpt":0.3768958052326546,"score_spread":0.2931620950090439,"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."}}