{"id":"W4387905508","doi":"10.1186/s12014-023-09436-7","title":"Validation of ANG-1 and P-SEL as biomarkers of post-COVID-19 conditions using data from the Biobanque québécoise de la COVID-19 (BQC-19)","year":2023,"lang":"en","type":"letter","venue":"Clinical Proteomics","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Université de Sherbrooke; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"Institute of Gender and Health; Institute of Circulatory and Respiratory Health; Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Lung Association; Génome Québec; Public Health Agency; Canadian Institutes of Health Research; Ministère de la Santé; Ministère de la Santé et des Services sociaux; Public Health Agency of Canada","keywords":"Coronavirus disease 2019 (COVID-19); Biobank; Biomarker; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Internal medicine; Bioinformatics; Disease; Virology; Biology; Outbreak","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":[0.006099313,0.0003051799,0.0006773721,0.0008899287,0.002136766,0.001731624,0.0006538049,0.005818186,0.002000914],"category_scores_gemma":[0.02925531,0.0002291014,0.0004203265,0.0008727109,0.001499744,0.000961718,0.0005297026,0.006232523,0.001484385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004329572,"about_ca_system_score_gemma":0.003581519,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08066654,"about_ca_topic_score_gemma":0.08046046,"domain_scores_codex":[0.9959103,0.001639561,0.0006385463,0.0004245587,0.0009894569,0.0003975443],"domain_scores_gemma":[0.9749458,0.01297588,0.001212486,0.001276827,0.007982246,0.001606758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0007337683,0.0001810231,0.2497332,0.0002400297,0.0001214041,0.02726425,0.001853768,0.000239243,0.00234647,0.002944484,0.6451503,0.06919206],"study_design_scores_gemma":[0.000452814,0.0005371328,0.2155045,0.002097601,0.0002632584,0.06120605,0.005533594,0.006651135,0.005217561,0.014494,0.6876675,0.0003749451],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0649621,0.006116638,0.001966221,0.9022387,0.01182712,0.0001271155,0.001827232,0.0001167361,0.01081815],"genre_scores_gemma":[0.3606226,0.005072371,0.004142936,0.596359,0.02135347,0.0002788297,0.001084593,0.0001286612,0.01095755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9193335,"threshold_uncertainty_score":0.160394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1249044922871845,"score_gpt":0.4467014168975005,"score_spread":0.321796924610316,"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."}}