{"id":"W4210356310","doi":"10.1038/s41431-022-01047-4","title":"Leave no one behind: inclusion of alpha-1 antitrypsin deficiency patients in COVID-19 vaccine trials","year":2022,"lang":"en","type":"article","venue":"European Journal of Human Genetics","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Paul's Hospital; Providence Health Care Research Institute; University of British Columbia Hospital; University of British Columbia; McGill University; Providence Health Care; Prevention of Organ Failure","funders":"Canadian Institutes of Health Research","keywords":"Immunogenicity; Medicine; Pandemic; Vaccination; Clinical trial; Alpha 1-antitrypsin deficiency; Coronavirus; Population; Immunology; Coronavirus disease 2019 (COVID-19); Intensive care medicine; Disease; Internal medicine; Infectious disease (medical specialty); Immune system; Environmental health","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":[],"consensus_categories":[],"category_scores_codex":[0.007683527,0.0006467726,0.002716718,0.0003473016,0.0006582334,0.001709832,0.0006241067,0.002972814,0.006991844],"category_scores_gemma":[0.01198324,0.0004008395,0.001922599,0.0004170929,0.0007820716,0.002075627,0.0008216575,0.003265894,0.0008508057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006592988,"about_ca_system_score_gemma":0.002003303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005256322,"about_ca_topic_score_gemma":0.0019985,"domain_scores_codex":[0.9949139,0.003532778,0.0004263319,0.0004051808,0.0002738358,0.0004478805],"domain_scores_gemma":[0.9941619,0.003205489,0.0007193765,0.0002232112,0.0003034086,0.001386623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"not_applicable","study_design_scores_codex":[0.5716499,0.002825263,0.03439191,0.00522248,0.008400149,0.0007047027,0.0007060505,0.001435712,0.007285657,0.00467798,0.02062009,0.34208],"study_design_scores_gemma":[0.5443959,0.1860215,0.1002269,0.008358913,0.01890204,0.001959298,0.001283176,0.003988803,0.004672152,0.02186603,0.1080442,0.0002811856],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.8108563,0.1087174,0.003631353,0.04054343,0.008460487,0.002628746,0.002364746,0.0001636859,0.02263387],"genre_scores_gemma":[0.9750952,0.006661141,0.002413088,0.01111278,0.001282422,0.001142894,0.000658869,0.00003483549,0.001598759],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.007683527,"threshold_uncertainty_score":0.04063487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08959140154678726,"score_gpt":0.3766870040328857,"score_spread":0.2870956024860984,"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."}}