{"id":"W3092660013","doi":"10.1182/bloodadvances.2020002650","title":"Impaired natural killer cell counts and cytolytic activity in patients with severe COVID-19","year":2020,"lang":"en","type":"article","venue":"Blood Advances","topic":"Immune Cell Function and Interaction","field":"Immunology and Microbiology","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; University of Calgary; University of Alberta","funders":"","keywords":"Cytokine storm; Immunology; Proinflammatory cytokine; Cytolysis; Natural killer cell; Cytokine; Interleukin; Interleukin 21; Interleukin 12; Medicine; IL-2 receptor; Biology; T cell; Disease; Inflammation; Coronavirus disease 2019 (COVID-19); Internal medicine; Immune system; Cytotoxicity; Cytotoxic T cell; 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":[],"consensus_categories":[],"category_scores_codex":[0.00001843378,0.00007577072,0.00009896846,0.00002387157,0.00005137767,0.000006175289,0.00003596845,0.00004586765,0.000365977],"category_scores_gemma":[0.00002916681,0.00005855551,0.00001382497,0.0000577455,0.00003896519,0.0001556923,0.00001694579,0.000142975,0.0001207207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001546839,"about_ca_system_score_gemma":0.00002456793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001199448,"about_ca_topic_score_gemma":0.000008049648,"domain_scores_codex":[0.9996347,0.00003715209,0.00006716591,0.0001411391,0.00001916601,0.0001006967],"domain_scores_gemma":[0.9998366,0.00003446406,0.00004608269,0.00005035705,0.00001392526,0.00001855086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008037117,0.001553129,0.8390484,0.0004445955,0.0003208579,0.00002346883,0.002671786,0.00009903253,0.08353405,0.0001194736,0.04412181,0.02002623],"study_design_scores_gemma":[0.01252123,0.001161467,0.1902373,0.00003910932,0.0000737406,0.0000259427,0.000368545,0.0000274964,0.02487883,0.00002213282,0.7701593,0.0004849018],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946409,0.00197782,0.00001799435,0.000309784,0.0009647533,0.0001446514,0.000003681904,0.00004117769,0.00189925],"genre_scores_gemma":[0.9965791,0.00005887962,0.00001466308,0.0007349654,0.00001059989,0.000003659986,0.0000279698,0.000005183706,0.002565021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7260375,"threshold_uncertainty_score":0.4007191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006811501531896344,"score_gpt":0.2133110984926539,"score_spread":0.2064995969607575,"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."}}