{"id":"W4309087219","doi":"10.1186/s12014-022-09378-6","title":"Correction: The dynamic changes and sex differences of 147 immune-related proteins during acute COVID-19 in 580 individuals","year":2022,"lang":"en","type":"erratum","venue":"Clinical Proteomics","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill Genome Centre; Université de Montréal; McGill University Health Centre; Centre Hospitalier de l’Université de Montréal; McGill University; Jewish General Hospital","funders":"National Cancer Institute","keywords":"Coronavirus disease 2019 (COVID-19); Immune system; Proteomics; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Data science; Computational biology; Bioinformatics; Immunology; Biology; Computer science; Virology; Pathology; Genetics; Disease; Outbreak","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":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005789062,0.0005941062,0.00249599,0.0004319303,0.0004920518,0.00005434587,0.0008699778,0.001174301,0.0004152284],"category_scores_gemma":[0.08603881,0.0004184918,0.0005190243,0.0008302202,0.002099039,0.00005930254,0.002397656,0.007891396,0.000008469748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000703104,"about_ca_system_score_gemma":0.002781525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000436007,"about_ca_topic_score_gemma":0.0003462619,"domain_scores_codex":[0.9928362,0.001328882,0.002643425,0.001264453,0.001196021,0.0007309538],"domain_scores_gemma":[0.984199,0.01250084,0.001425736,0.00122253,0.0001691575,0.000482705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008414574,0.007214864,0.6432491,0.02809965,0.01422451,0.001828223,0.01095973,0.0001801429,0.001258274,0.0001521717,0.2329643,0.05145441],"study_design_scores_gemma":[0.01683604,0.01048974,0.7757916,0.00465442,0.002288199,0.00009961092,0.001915887,0.01209249,0.0001262939,0.003938545,0.1697695,0.001997563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.776285,0.01164583,0.0002202182,0.1346397,0.03716478,0.03475029,0.001445657,0.0006178006,0.003230797],"genre_scores_gemma":[0.4218641,0.1276296,0.000462031,0.005404438,0.00232662,0.00618477,0.0009109603,0.0003794432,0.434838],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4316072,"threshold_uncertainty_score":0.9998267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05883714701765032,"score_gpt":0.4254301216593921,"score_spread":0.3665929746417418,"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."}}