{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001860815,0.0004302032,0.0005686092,0.0005438596,0.0003348042,0.0004314587,0.0001806923,0.000352267,0.001050654],"category_scores_gemma":[0.001045945,0.0001309465,0.0001577882,0.0003753216,0.0002945603,0.0003461503,0.0003325044,0.0005142309,0.0001700246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000172525,"about_ca_system_score_gemma":0.000187226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000447389,"about_ca_topic_score_gemma":0.0003612534,"domain_scores_codex":[0.9997742,0.00004536877,0.00004295966,0.00005270735,0.00003951553,0.00004527671],"domain_scores_gemma":[0.9995373,0.00007939829,0.0001751713,0.00003033105,0.00005319367,0.0001247011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001784486,0.0001278386,0.9692701,0.00007050687,0.00005848252,0.003962549,0.0003120787,0.0001189923,0.01516274,0.00009228168,0.0002247151,0.008815212],"study_design_scores_gemma":[0.00005098082,0.00120837,0.9816601,0.00002347305,0.00005902204,0.01228859,0.0004157109,0.0005037498,0.002775955,0.0001732413,0.0008261996,0.00001467984],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981963,0.000833671,0.0001874086,0.00003981299,0.000009020638,0.00001447417,0.0001036439,0.000008688219,0.0006070455],"genre_scores_gemma":[0.9995041,0.0001561756,0.00007853505,0.00003008933,0.00001259541,0.000005891286,0.0001278612,0.000001069993,0.00008366178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001050654,"threshold_uncertainty_score":0.003514767,"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."}}