{"id":"W3136020858","doi":"10.1097/cce.0000000000000369","title":"Detection and Profiling of Human Coronavirus Immunoglobulins in Critically Ill Coronavirus Disease 2019 Patients","year":2021,"lang":"en","type":"article","venue":"Critical Care Explorations","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Vector Institute; Western University","funders":"","keywords":"Coronavirus; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Critically ill; Profiling (computer programming); Disease; Medicine; Antibody; Pandemic; Virology; Immunology; Infectious disease (medical specialty); Intensive care medicine; Outbreak; Internal medicine; Computer science","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":[0.0002650228,0.0002420772,0.0002210932,0.0004483201,0.0002513693,0.0003919117,0.0001387877,0.0003608141,0.001083092],"category_scores_gemma":[0.0008197341,0.0001181387,0.0001529543,0.0002808047,0.0001584522,0.0002046429,0.0002133264,0.000245895,0.0002100372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001905199,"about_ca_system_score_gemma":0.0001204995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005638594,"about_ca_topic_score_gemma":0.0005684805,"domain_scores_codex":[0.999792,0.00004398188,0.00002768121,0.0000426951,0.00003488311,0.00005871927],"domain_scores_gemma":[0.9996741,0.000073006,0.0001053095,0.00001334518,0.00005303975,0.00008115952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007840867,0.00009369418,0.9767457,0.00002906934,0.0000184724,0.0007445457,0.0001523389,0.0000491745,0.01690108,0.0000208415,0.0001307863,0.004330141],"study_design_scores_gemma":[0.00002306097,0.00124593,0.9933722,0.00001257395,0.00001763567,0.001406387,0.0002392535,0.000246533,0.002969827,0.00001779945,0.0004447162,0.000004085725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995665,0.0001117145,0.00006586849,0.00001215908,0.000003447736,0.000007807987,0.00005596956,0.000002302874,0.0001742891],"genre_scores_gemma":[0.9994855,0.00005330171,0.0001238295,0.00004626929,0.000006909614,0.00001047199,0.0001535398,9.279296e-7,0.0001192484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001083092,"threshold_uncertainty_score":0.003623366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08922979180578867,"score_gpt":0.410490085544396,"score_spread":0.3212602937386074,"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."}}