{"id":"W3080371501","doi":"10.1101/2020.08.18.20177691","title":"Genetically-predicted vitamin D status, ambient UVB during the pandemic and COVID-19 risk in UK Biobank: Mendelian Randomisation study","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Vitamin D Research Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"Medical Research Council; Cancer Research UK","keywords":"Vitamin D and neurology; Confounding; Coronavirus disease 2019 (COVID-19); Biobank; Medicine; Logistic regression; Internal medicine; Environmental health; Demography; Biology; Disease; Bioinformatics","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":[0.0131104,0.0008165707,0.00114787,0.0008693712,0.0006748986,0.0008358027,0.001263833,0.0009808593,0.003966499],"category_scores_gemma":[0.03727823,0.0007079344,0.001337106,0.001607913,0.0007477137,0.0005922035,0.0006907086,0.0007556864,0.0004240415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007599812,"about_ca_system_score_gemma":0.0007319011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009557928,"about_ca_topic_score_gemma":0.003864826,"domain_scores_codex":[0.98167,0.01299131,0.001447645,0.002269353,0.001218161,0.0004036168],"domain_scores_gemma":[0.9850193,0.006929802,0.003529527,0.003618945,0.0006301087,0.0002723006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01034963,0.0003493524,0.963432,0.0006370468,0.003370725,0.00130766,0.001077881,0.001384828,0.001980306,0.002001978,0.002989064,0.01111951],"study_design_scores_gemma":[0.004232345,0.004497686,0.9466016,0.0006164522,0.003855785,0.005645094,0.0007253316,0.02101022,0.001804091,0.003271578,0.007548451,0.0001914026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716415,0.002256095,0.02049311,0.0004327032,0.0001307842,0.001129274,0.002902851,0.00008315955,0.0009304998],"genre_scores_gemma":[0.9932972,0.0002133927,0.004064792,0.0001736381,0.00002893555,0.0007289967,0.0008326746,0.00002216366,0.0006383612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0131104,"threshold_uncertainty_score":0.06933522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04050639418166965,"score_gpt":0.3343522931619661,"score_spread":0.2938458989802964,"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."}}