{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3698292,0.001177647,0.00305354,0.002285387,0.002018082,0.004225387,0.003692862,0.004796829,0.009800503],"category_scores_gemma":[0.5564447,0.0014016,0.00490396,0.00350567,0.005325826,0.003862234,0.003498734,0.003801044,0.0008954608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001489593,"about_ca_system_score_gemma":0.003098347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002101348,"about_ca_topic_score_gemma":0.001769562,"domain_scores_codex":[0.4696786,0.4705054,0.01771155,0.02061014,0.01850204,0.002992273],"domain_scores_gemma":[0.378161,0.5519005,0.01888412,0.04288293,0.006281802,0.001889655],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.06352925,0.003176803,0.411616,0.008064756,0.03125169,0.004965653,0.006454147,0.06110447,0.006825177,0.1618144,0.03311293,0.2080847],"study_design_scores_gemma":[0.02149975,0.02985946,0.2124822,0.003512327,0.01331724,0.003730934,0.001891014,0.3886618,0.009202445,0.2051943,0.1099596,0.0006889381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2166301,0.006465798,0.7218794,0.006937209,0.003112476,0.02125714,0.006212389,0.001089453,0.01641599],"genre_scores_gemma":[0.8446847,0.0003650905,0.1189426,0.002063201,0.0002950495,0.03063769,0.001221291,0.0002112421,0.001579038],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6301708,"threshold_uncertainty_score":0.7771128,"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."}}